{ "schemaVersion": "2026-06-11", "type": "AICrawlerPolicy", "name": "ELPA SPACE AI crawler policy, editorial feeds, and paid agent tool index", "url": "https://elpa.space/ai-crawler-policy.json", "dateModified": "2026-06-11", "publisher": { "type": "Organization", "name": "ELPA SPACE", "url": "https://elpa.space" }, "crawlPolicy": { "reviewedAt": "2026-06-11", "intent": "Make ELPA SPACE crawlable for AI search, user-triggered answer retrieval, transparent crawler research, editorial text feeds, and discovery of x402-payable agent tools.", "allowedPaths": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "groups": [ { "userAgent": "OAI-SearchBot", "operator": "OpenAI", "role": "ai-search", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.openai.com/api/docs/bots", "notes": "Search crawler used to surface sites in ChatGPT search features." }, { "userAgent": "GPTBot", "operator": "OpenAI", "role": "training-control", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.openai.com/api/docs/bots", "notes": "Controls whether public content may be crawled for OpenAI model training." }, { "userAgent": "ChatGPT-User", "operator": "OpenAI", "role": "user-fetch", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.openai.com/api/docs/bots", "notes": "User-triggered fetcher for ChatGPT and Custom GPT actions; not automatic search crawling." }, { "userAgent": "Claude-SearchBot", "operator": "Anthropic", "role": "ai-search", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://support.claude.com/en/articles/8896518-does-anthropic-crawl-data-from-the-web-and-how-can-site-owners-block-the-crawler", "notes": "Crawler for improving Claude search result relevance and accuracy." }, { "userAgent": "ClaudeBot", "operator": "Anthropic", "role": "training-control", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://support.claude.com/en/articles/8896518-does-anthropic-crawl-data-from-the-web-and-how-can-site-owners-block-the-crawler", "notes": "Crawler for content that may contribute to Anthropic model training." }, { "userAgent": "Claude-User", "operator": "Anthropic", "role": "user-fetch", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://support.claude.com/en/articles/8896518-does-anthropic-crawl-data-from-the-web-and-how-can-site-owners-block-the-crawler", "notes": "User-triggered fetcher for Claude web requests." }, { "userAgent": "PerplexityBot", "operator": "Perplexity", "role": "ai-search", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://docs.perplexity.ai/docs/resources/perplexity-crawlers", "notes": "Crawler designed to surface and link sites in Perplexity search results." }, { "userAgent": "Perplexity-User", "operator": "Perplexity", "role": "user-fetch", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://docs.perplexity.ai/docs/resources/perplexity-crawlers", "notes": "User-triggered fetcher for Perplexity answers; Perplexity documents that it generally ignores robots.txt." }, { "userAgent": "Applebot", "operator": "Apple", "role": "search-index", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://support.apple.com/en-us/119829", "notes": "Crawler for Spotlight, Siri, Safari, and related Apple search experiences." }, { "userAgent": "Applebot-Extended", "operator": "Apple", "role": "training-control", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://support.apple.com/en-us/119829", "notes": "Control token for whether Applebot-crawled content may train Apple foundation models." }, { "userAgent": "Googlebot", "operator": "Google", "role": "search-index", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.google.com/search/docs/appearance/ai-features", "notes": "Google Search crawler; Google AI features use the same search eligibility and indexing foundations." }, { "userAgent": "Google-Extended", "operator": "Google", "role": "training-control", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.google.com/crawling/docs/crawlers-fetchers/google-common-crawlers", "notes": "Control token for Gemini training and grounding use; not a separate crawler user agent." }, { "userAgent": "GoogleOther", "operator": "Google", "role": "search-index", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.google.com/crawling/docs/crawlers-fetchers/google-common-crawlers", "notes": "Generic Google crawler used by product teams for publicly accessible content." }, { "userAgent": "Meta-ExternalAgent", "operator": "Meta", "role": "training-control", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.facebook.com/docs/sharing/webmasters/web-crawlers/", "notes": "Meta external crawler token used for AI and product indexing use cases." }, { "userAgent": "Meta-ExternalFetcher", "operator": "Meta", "role": "user-fetch", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.facebook.com/docs/sharing/webmasters/web-crawlers/", "notes": "Meta external fetcher for user or product-triggered retrieval." }, { "userAgent": "Meta-WebIndexer", "operator": "Meta", "role": "ai-search", "allow": [ "/", "/articles/", "/news/", "/lessons/", "/authors/", "/agent-tools/", "/agentic-web/", "/agent-tools.json", "/api/v1/agent-tools/", "/api/mcp", "/.well-known/agent-card.json", "/.well-known/mcp.json", "/.well-known/mcp/server-card.json", "/.well-known/ucp", "/llms.txt", "/llms-full.txt", "/ai.txt", "/ai-txt/", "/ai-crawler-policy.json", "/sitemap-index.xml", "/news-sitemap.xml", "/rss.xml" ], "source": "https://developers.facebook.com/docs/sharing/webmasters/web-crawlers/", "notes": "Meta web indexing crawler for search and AI answer surfaces where available." }, { "userAgent": "MJ12bot", "operator": "Majestic", "role": "link-index", "allow": [ "/", "/agent-tools/", "/agent-tools.json", "/sitemap-index.xml" ], "source": "https://www.mj12bot.com/", "notes": "SEO/link graph crawler. It is tracked separately from AI search and user-fetch bots.", "crawlDelaySeconds": 10 } ], "metrics": { "primarySegment": "requests by user-agent family to /agent-tools/, /api/v1/agent-tools/, /llms.txt, /ai.txt, /ai-txt/, and canonical editorial pages", "separateSegments": [ "ai-search", "user-fetch", "training-control", "search-index", "link-index" ] } }, "contentFeeds": [ { "name": "LLM-friendly index", "url": "https://elpa.space/llms.txt", "format": "text/markdown" }, { "name": "LLM-friendly full editorial feed", "url": "https://elpa.space/llms-full.txt", "format": "text/markdown" }, { "name": "Per-article LLM text exports", "urlPattern": "https://elpa.space/ai-txt/%7Bslug%7D.txt", "format": "text/markdown" } ], "toolIndex": [ { "slug": "action-guard", "title": "Action Guard", "category": "Command Safety", "description": "Scan model-generated code or shell scripts for destructive commands, credential access, and unsafe runtimes.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/action-guard/", "priceUSDC": 0.015, "requestSchema": { "type": "object", "required": [ "code" ], "properties": { "code": { "type": "string" }, "language": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "isSafe": { "type": "boolean" }, "blockedPatterns": { "type": "array", "items": { "type": "string" } }, "securityLevel": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#action-guard" }, { "slug": "agent-discovery-gap-report", "title": "Agent Discovery Gap Report", "category": "Agentic Web", "description": "Compare a site against agent-readable discovery surfaces: Agent Card, MCP, UCP, OfferCatalog, robots, llms.txt, raw context, and paid endpoints.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/agent-discovery-gap-report/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string" }, "agentCard": { "type": "object" }, "mcpServerCard": { "type": "object" }, "ucpProfile": { "type": "object" }, "offerCatalog": { "type": "object" }, "robotsTxt": { "type": "string" }, "llmsTxt": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "score": { "type": "integer" }, "missingSurfaces": { "type": "array", "items": { "type": "string" } }, "priorityFixes": { "type": "array", "items": { "type": "string" } }, "crawlPlan": { "type": "array", "items": { "type": "object" } } } }, "url": "https://elpa.space/agent-tools/#agent-discovery-gap-report" }, { "slug": "agent-paywall-pricing-advisor", "title": "Agent Paywall Pricing Advisor", "category": "Agentic Commerce", "description": "Suggest x402 micropayment tiers from latency, token savings, buyer urgency, and result uniqueness.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/agent-paywall-pricing-advisor/", "priceUSDC": 0.008, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#agent-paywall-pricing-advisor" }, { "slug": "agent-web-readiness-audit", "title": "Agent Web Readiness Audit", "category": "Agentic Web", "description": "Score a page or service for AI Search, browser-agent usability, x402 payment discovery, MCP, A2A, and UCP readiness.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/agent-web-readiness-audit/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "description": "Canonical page or service URL being audited." }, "html": { "type": "string", "description": "Rendered or source HTML to inspect." }, "robotsTxt": { "type": "string", "description": "robots.txt content when available." }, "headers": { "type": "object", "description": "HTTP response headers as key/value pairs." }, "discoveredUrls": { "type": "array", "items": { "type": "string" }, "description": "Known discovery URLs found by the calling agent." } } }, "responseSchema": { "type": "object", "properties": { "score": { "type": "integer" }, "grade": { "type": "string" }, "channelReadiness": { "type": "object" }, "findings": { "type": "array", "items": { "type": "object", "properties": { "id": { "type": "string" }, "status": { "type": "string" }, "severity": { "type": "string" }, "message": { "type": "string" } } } }, "recommendedEndpoints": { "type": "array", "items": { "type": "string" } } } }, "url": "https://elpa.space/agent-tools/#agent-web-readiness-audit" }, { "slug": "ai-crawler-policy-audit", "title": "AI Crawler Policy Audit", "category": "Agentic Web", "description": "Score crawler policies for AI search, user-triggered fetchers, training bots, and paid-agent allowlists.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/ai-crawler-policy-audit/", "priceUSDC": 0.004, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#ai-crawler-policy-audit" }, { "slug": "api-response-contract-audit", "title": "API Response Contract Audit", "category": "Developer APIs", "description": "Review API response examples for stable fields, typed errors, pagination, rate-limit hints, and agent-friendly contracts.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/api-response-contract-audit/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#api-response-contract-audit" }, { "slug": "app-store-review-miner", "title": "App Store Review Miner", "category": "Product Intelligence", "description": "Extract themes, bugs, feature requests, sentiment, and revenue-risk signals from compact review samples.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/app-store-review-miner/", "priceUSDC": 0.007, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#app-store-review-miner" }, { "slug": "churn-risk-signal-audit", "title": "Churn Risk Signal Audit", "category": "Growth", "description": "Review account notes for usage decline, unresolved support, price friction, champion loss, and expansion blockers.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/churn-risk-signal-audit/", "priceUSDC": 0.009, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#churn-risk-signal-audit" }, { "slug": "competitor-positioning-map", "title": "Competitor Positioning Map", "category": "Market Research", "description": "Map competitors by buyer, promise, proof, pricing model, moat, and weak spots from compact descriptions.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/competitor-positioning-map/", "priceUSDC": 0.01, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#competitor-positioning-map" }, { "slug": "complexity-score", "title": "Complexity Score", "category": "Code Review", "description": "Estimate branch complexity from a source block and return a simple grade for agent triage.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/complexity-score/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "code" ], "properties": { "code": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "complexity": { "type": "integer" }, "grade": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#complexity-score" }, { "slug": "conflict-resolve", "title": "Conflict Resolve", "category": "Workspace Safety", "description": "Resolve simple git conflict-marker blocks using ours, theirs, or concat strategy.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/conflict-resolve/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "content" ], "properties": { "content": { "type": "string" }, "strategy": { "type": "string", "enum": [ "ours", "theirs", "concat" ], "default": "ours" } } }, "responseSchema": { "type": "object", "properties": { "success": { "type": "boolean" }, "resolvedContent": { "type": "string" }, "hadConflicts": { "type": "boolean" }, "error": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#conflict-resolve" }, { "slug": "context-compress", "title": "Context Compress", "category": "Token Economy", "description": "Compress verbose logs, traces, and repeated output into a smaller context block before the agent retries a task.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/context-compress/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "text" ], "properties": { "text": { "type": "string", "description": "Raw log, transcript, or context block." }, "maxLength": { "type": "integer", "minimum": 200, "maximum": 12000, "default": 2000 } } }, "responseSchema": { "type": "object", "properties": { "compressedText": { "type": "string" }, "originalLength": { "type": "integer" }, "compressedLength": { "type": "integer" }, "compressionRatio": { "type": "number" } } }, "url": "https://elpa.space/agent-tools/#context-compress" }, { "slug": "contract-clause-risk-map", "title": "Contract Clause Risk Map", "category": "Compliance", "description": "Map contract clauses into commercial, privacy, IP, liability, renewal, and termination risk buckets.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/contract-clause-risk-map/", "priceUSDC": 0.015, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#contract-clause-risk-map" }, { "slug": "cost-estimate", "title": "Cost Estimate", "category": "Token Economy", "description": "Estimate model call costs from input and output token counts using a small configurable rate table.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/cost-estimate/", "priceUSDC": 0.002, "requestSchema": { "type": "object", "required": [ "inputPricePerMillion", "outputPricePerMillion" ], "properties": { "model": { "type": "string", "default": "custom" }, "inputTokens": { "type": "integer", "default": 0 }, "outputTokens": { "type": "integer", "default": 0 }, "inputPricePerMillion": { "type": "number" }, "outputPricePerMillion": { "type": "number" }, "rates": { "type": "object" } } }, "responseSchema": { "type": "object", "properties": { "model": { "type": "string" }, "inputCost": { "type": "number" }, "outputCost": { "type": "number" }, "totalCost": { "type": "number" } } }, "url": "https://elpa.space/agent-tools/#cost-estimate" }, { "slug": "crypto-tokenomics-risk-scan", "title": "Crypto Tokenomics Risk Scan", "category": "Crypto Intelligence", "description": "Scan token supply, unlocks, incentives, concentration, utility, and narrative risk from a compact project brief.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/crypto-tokenomics-risk-scan/", "priceUSDC": 0.015, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#crypto-tokenomics-risk-scan" }, { "slug": "csv-phone-clean", "title": "CSV Phone Clean", "category": "Data Cleaning", "description": "Extract and normalize phone numbers from CSV text into E.164-like strings with validation flags.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/csv-phone-clean/", "priceUSDC": 0.008, "requestSchema": { "oneOf": [ { "type": "string", "format": "csv" }, { "type": "object", "required": [ "csvText" ], "properties": { "csvText": { "type": "string", "format": "csv" } } } ] }, "responseSchema": { "type": "object", "properties": { "results": { "type": "array", "items": { "type": "object", "properties": { "raw": { "type": "string" }, "clean": { "type": "string" }, "isValid": { "type": "boolean" } } } } } }, "url": "https://elpa.space/agent-tools/#csv-phone-clean" }, { "slug": "csv-schema-drift-check", "title": "CSV Schema Drift Check", "category": "Data Intelligence", "description": "Compare expected and observed CSV columns, types, row counts, null rates, and breaking changes.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/csv-schema-drift-check/", "priceUSDC": 0.004, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#csv-schema-drift-check" }, { "slug": "dataset-quality-score", "title": "Dataset Quality Score", "category": "Data Intelligence", "description": "Score a dataset description for freshness, coverage, columns, provenance, missingness, and buyer-ready documentation.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/dataset-quality-score/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#dataset-quality-score" }, { "slug": "dependency-plan", "title": "Dependency Plan", "category": "Install Safety", "description": "Extract missing npm dependencies from source code and return a cautious install command with typosquat warnings.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/dependency-plan/", "priceUSDC": 0.015, "requestSchema": { "type": "object", "required": [ "code" ], "properties": { "code": { "type": "string" }, "existingDependencies": { "type": "array", "items": { "type": "string" }, "default": [] } } }, "responseSchema": { "type": "object", "properties": { "missingDependencies": { "type": "array", "items": { "type": "string" } }, "installCommands": { "type": "array", "items": { "type": "string" } }, "safeToInstall": { "type": "boolean" }, "warnings": { "type": "array", "items": { "type": "string" } } } }, "url": "https://elpa.space/agent-tools/#dependency-plan" }, { "slug": "education-course-outline-audit", "title": "Education Course Outline Audit", "category": "Industry: Education", "description": "Score course outlines for learning objectives, prerequisites, sequence, assessments, practice loops, and accessibility.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/education-course-outline-audit/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#education-course-outline-audit" }, { "slug": "energy-load-shift-opportunity", "title": "Energy Load Shift Opportunity", "category": "Industry: Energy", "description": "Summarize flexible compute, tariff windows, battery/storage notes, and operational constraints into load-shift opportunities.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/energy-load-shift-opportunity/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#energy-load-shift-opportunity" }, { "slug": "env-validate", "title": "Env Validate", "category": "Config Safety", "description": "Compare .env content against an example file and flag missing keys, empty keys, and public secret leaks.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/env-validate/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "envContent", "envExampleContent" ], "properties": { "envContent": { "type": "string" }, "envExampleContent": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "isValid": { "type": "boolean" }, "missingKeys": { "type": "array", "items": { "type": "string" } }, "emptyKeys": { "type": "array", "items": { "type": "string" } }, "leaks": { "type": "array", "items": { "type": "string" } }, "warnings": { "type": "array", "items": { "type": "string" } } } }, "url": "https://elpa.space/agent-tools/#env-validate" }, { "slug": "fx-exposure-brief", "title": "FX Exposure Brief", "category": "Economy", "description": "Summarize currency exposure from revenue, costs, settlement currency, geography, and payout timing.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/fx-exposure-brief/", "priceUSDC": 0.01, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#fx-exposure-brief" }, { "slug": "gdpr-cookie-copy-audit", "title": "GDPR Cookie Copy Audit", "category": "Compliance", "description": "Review cookie/banner copy for consent clarity, purpose categories, reject parity, and tracking disclosure gaps.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/gdpr-cookie-copy-audit/", "priceUSDC": 0.01, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#gdpr-cookie-copy-audit" }, { "slug": "git-transaction", "title": "Git Transaction", "category": "Workspace Safety", "description": "Generate cautious backup and rollback command plans for dirty git workspaces.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/git-transaction/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "action" ], "properties": { "action": { "type": "string", "enum": [ "backup", "rollback" ] }, "statusOutput": { "type": "string" }, "commitMessage": { "type": "string" }, "backupBranch": { "type": "string" }, "timestamp": { "type": "integer" } } }, "responseSchema": { "type": "object", "properties": { "success": { "type": "boolean" }, "requiresBackup": { "type": "boolean" }, "branchName": { "type": "string" }, "commands": { "type": "array", "items": { "type": "string" } }, "error": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#git-transaction" }, { "slug": "grant-rfp-fit-score", "title": "Grant RFP Fit Score", "category": "Business Development", "description": "Score a project brief against grant or RFP requirements, eligibility, evidence, budget, and proposal gaps.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/grant-rfp-fit-score/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#grant-rfp-fit-score" }, { "slug": "healthcare-content-safety-audit", "title": "Healthcare Content Safety Audit", "category": "Industry: Healthcare", "description": "Review health content for unsafe claims, missing disclaimers, emergency guidance gaps, and evidence language.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/healthcare-content-safety-audit/", "priceUSDC": 0.014, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#healthcare-content-safety-audit" }, { "slug": "hiring-scorecard-builder", "title": "Hiring Scorecard Builder", "category": "Operations", "description": "Convert a role brief into structured competencies, interview signals, evaluation weights, and red flags.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/hiring-scorecard-builder/", "priceUSDC": 0.007, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#hiring-scorecard-builder" }, { "slug": "incident-postmortem-draft", "title": "Incident Postmortem Draft", "category": "Operations", "description": "Turn incident notes into timeline, impact, root-cause hypotheses, contributing factors, and corrective actions.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/incident-postmortem-draft/", "priceUSDC": 0.008, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#incident-postmortem-draft" }, { "slug": "json-repair", "title": "JSON Repair", "category": "Structured Output", "description": "Repair common LLM JSON failures: markdown fences, trailing commas, and unclosed arrays or objects.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/json-repair/", "priceUSDC": 0.003, "requestSchema": { "oneOf": [ { "type": "string" }, { "type": "object", "required": [ "rawText" ], "properties": { "rawText": { "type": "string" } } } ] }, "responseSchema": { "type": "object", "properties": { "parsed": {}, "repaired": { "type": "boolean" } } }, "url": "https://elpa.space/agent-tools/#json-repair" }, { "slug": "landing-page-intent-match", "title": "Landing Page Intent Match", "category": "Growth", "description": "Compare target query, buyer intent, hero copy, proof, CTA, and page structure for conversion alignment.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/landing-page-intent-match/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#landing-page-intent-match" }, { "slug": "lint-error-heal", "title": "Lint Error Heal", "category": "Repair Planning", "description": "Parse TypeScript, Astro, and linter output into structured diagnostics that another agent can patch.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/lint-error-heal/", "priceUSDC": 0.01, "requestSchema": { "type": "object", "required": [ "errorLog" ], "properties": { "errorLog": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "diagnostics": { "type": "array", "items": { "type": "object", "properties": { "file": { "type": "string" }, "line": { "type": "integer" }, "column": { "type": "integer" }, "code": { "type": "string" }, "message": { "type": "string" } } } } } }, "url": "https://elpa.space/agent-tools/#lint-error-heal" }, { "slug": "llms-raw-context-audit", "title": "LLMs Raw Context Audit", "category": "Agentic Web", "description": "Audit llms.txt and raw text endpoints for token shape, canonical source hints, section quality, and context-buying usefulness.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/llms-raw-context-audit/", "priceUSDC": 0.004, "requestSchema": { "type": "object", "required": [ "llmsTxt" ], "properties": { "url": { "type": "string" }, "llmsTxt": { "type": "string" }, "rawText": { "type": "string" }, "maxRecommendedBytes": { "type": "integer", "default": 120000 } } }, "responseSchema": { "type": "object", "properties": { "score": { "type": "integer" }, "tokenShape": { "type": "object" }, "findings": { "type": "array", "items": { "type": "object" } }, "suggestedSections": { "type": "array", "items": { "type": "string" } }, "compressionHints": { "type": "array", "items": { "type": "string" } } } }, "url": "https://elpa.space/agent-tools/#llms-raw-context-audit" }, { "slug": "local-services-lead-quality", "title": "Local Services Lead Quality", "category": "Local Commerce", "description": "Score a local-service lead for intent, budget, urgency, geography, contact quality, and next response.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/local-services-lead-quality/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#local-services-lead-quality" }, { "slug": "logistics-route-risk-brief", "title": "Logistics Route Risk Brief", "category": "Industry: Logistics", "description": "Review route notes for delay risk, handoff count, customs, cold-chain, fragile goods, and contingency needs.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/logistics-route-risk-brief/", "priceUSDC": 0.009, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#logistics-route-risk-brief" }, { "slug": "ltv-cac-sanity-check", "title": "LTV CAC Sanity Check", "category": "Economy", "description": "Check whether stated acquisition cost, conversion, retention, gross margin, and payback assumptions are plausible.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/ltv-cac-sanity-check/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#ltv-cac-sanity-check" }, { "slug": "manufacturing-bom-risk-scan", "title": "Manufacturing BOM Risk Scan", "category": "Industry: Manufacturing", "description": "Scan a bill-of-materials summary for single-source parts, lead-time risk, cost concentration, and compliance gaps.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/manufacturing-bom-risk-scan/", "priceUSDC": 0.011, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#manufacturing-bom-risk-scan" }, { "slug": "market-basket-margin-scan", "title": "Market Basket Margin Scan", "category": "Commerce", "description": "Analyze a small basket of SKUs for gross margin, bundle candidates, price anomalies, and low-margin risk.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/market-basket-margin-scan/", "priceUSDC": 0.01, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#market-basket-margin-scan" }, { "slug": "marketplace-offer-fit-score", "title": "Marketplace Offer Fit Score", "category": "Agentic Commerce", "description": "Score whether an API/tool offer is likely to sell in a machine-buyer marketplace based on urgency, repeatability, uniqueness, and proof.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/marketplace-offer-fit-score/", "priceUSDC": 0.008, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#marketplace-offer-fit-score" }, { "slug": "mcp-server-card-audit", "title": "MCP Server Card Audit", "category": "Agentic Web", "description": "Score an MCP server card for discovery completeness, callable tools, schema clarity, transport metadata, and paid-tool readiness.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/mcp-server-card-audit/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "serverCard" ], "properties": { "serverCard": { "type": "object" }, "endpointUrl": { "type": "string" }, "expectedTools": { "type": "array", "items": { "type": "string" } } } }, "responseSchema": { "type": "object", "properties": { "score": { "type": "integer" }, "grade": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "recommendedFields": { "type": "array", "items": { "type": "string" } }, "toolCoverage": { "type": "object" } } }, "url": "https://elpa.space/agent-tools/#mcp-server-card-audit" }, { "slug": "mcp-tool-schema-lint", "title": "MCP Tool Schema Lint", "category": "Agentic Web", "description": "Lint MCP tool names, descriptions, input schemas, output contracts, and error semantics for reliable agent use.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/mcp-tool-schema-lint/", "priceUSDC": 0.004, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#mcp-tool-schema-lint" }, { "slug": "onchain-wallet-label-brief", "title": "Onchain Wallet Label Brief", "category": "Crypto Intelligence", "description": "Turn wallet activity notes into a cautious label brief with confidence, counterparties, and evidence gaps.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/onchain-wallet-label-brief/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#onchain-wallet-label-brief" }, { "slug": "patch-verify", "title": "Patch Verify", "category": "Code Safety", "description": "Check whether a proposed replacement has exactly one matching target block before an agent edits a file.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/patch-verify/", "priceUSDC": 0.01, "requestSchema": { "type": "object", "required": [ "originalContent", "targetContent", "replacementContent" ], "properties": { "originalContent": { "type": "string" }, "targetContent": { "type": "string" }, "replacementContent": { "type": "string" }, "allowMultiple": { "type": "boolean", "default": false } } }, "responseSchema": { "type": "object", "properties": { "success": { "type": "boolean" }, "updatedContent": { "type": "string" }, "occurrences": { "type": "integer" }, "error": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#patch-verify" }, { "slug": "pii-redaction-plan", "title": "PII Redaction Plan", "category": "Data Safety", "description": "Identify likely personal data in a sample and recommend deterministic redaction rules before sharing context with agents.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/pii-redaction-plan/", "priceUSDC": 0.007, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#pii-redaction-plan" }, { "slug": "policy-gap-scan", "title": "Policy Gap Scan", "category": "Compliance", "description": "Compare a policy draft against required topics, operational controls, owner fields, and update cadence.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/policy-gap-scan/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#policy-gap-scan" }, { "slug": "pricing-page-conversion-audit", "title": "Pricing Page Conversion Audit", "category": "Growth", "description": "Review pricing copy, plan structure, proof, friction, and buyer intent match for human and agent visitors.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/pricing-page-conversion-audit/", "priceUSDC": 0.008, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#pricing-page-conversion-audit" }, { "slug": "procurement-bid-comparison", "title": "Procurement Bid Comparison", "category": "Business Development", "description": "Compare bids by price, delivery, risk, warranty, compliance, vendor history, and missing assumptions.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/procurement-bid-comparison/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#procurement-bid-comparison" }, { "slug": "product-feed-quality-audit", "title": "Product Feed Quality Audit", "category": "Commerce", "description": "Score product feeds for identifiers, titles, descriptions, prices, stock, images, schema, and marketplace readiness.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/product-feed-quality-audit/", "priceUSDC": 0.007, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#product-feed-quality-audit" }, { "slug": "real-estate-listing-quality-score", "title": "Real Estate Listing Quality Score", "category": "Industry: Real Estate", "description": "Score property listing text for location clarity, amenities, photos, price context, compliance, and buyer-agent usefulness.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/real-estate-listing-quality-score/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#real-estate-listing-quality-score" }, { "slug": "research-paper-claim-map", "title": "Research Paper Claim Map", "category": "Research", "description": "Map abstract or notes into claims, evidence type, limitations, replication needs, and citation targets.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/research-paper-claim-map/", "priceUSDC": 0.009, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#research-paper-claim-map" }, { "slug": "restaurant-menu-margin-hints", "title": "Restaurant Menu Margin Hints", "category": "Industry: Hospitality", "description": "Review menu items for pricing gaps, ingredient cost pressure, upsell candidates, and confusing descriptions.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/restaurant-menu-margin-hints/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#restaurant-menu-margin-hints" }, { "slug": "retry-backoff", "title": "Retry Backoff", "category": "Network Stability", "description": "Calculate exponential retry delays with optional jitter for 429 and transient API failures.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/retry-backoff/", "priceUSDC": 0.002, "requestSchema": { "type": "object", "required": [ "attempt" ], "properties": { "attempt": { "type": "integer" }, "baseDelayMs": { "type": "integer", "default": 1000 }, "maxDelayMs": { "type": "integer", "default": 16000 }, "enableJitter": { "type": "boolean", "default": true }, "mockRandom": { "type": "number" } } }, "responseSchema": { "type": "object", "properties": { "attempt": { "type": "integer" }, "retryDelayMs": { "type": "integer" }, "maxRangeMs": { "type": "integer" } } }, "url": "https://elpa.space/agent-tools/#retry-backoff" }, { "slug": "schema-offer-catalog-audit", "title": "Schema Offer Catalog Audit", "category": "Agentic Web", "description": "Check Schema.org OfferCatalog, SoftwareApplication, Product, Dataset, and Action metadata for machine buyers.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/schema-offer-catalog-audit/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#schema-offer-catalog-audit" }, { "slug": "seo-geo-snippet-optimizer", "title": "SEO GEO Snippet Optimizer", "category": "Growth", "description": "Rewrite page signals into answer-engine-friendly title, summary, facts, citations, and machine action hints.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/seo-geo-snippet-optimizer/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#seo-geo-snippet-optimizer" }, { "slug": "shell-guard", "title": "Shell Guard", "category": "Command Safety", "description": "Classify risky shell commands and clamp execution options before an agent launches a local process.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/shell-guard/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "command" ], "properties": { "command": { "type": "string" }, "timeoutMs": { "type": "integer", "default": 30000 }, "maxBufferMb": { "type": "integer", "default": 50 } } }, "responseSchema": { "type": "object", "properties": { "safe": { "type": "boolean" }, "nodeOptions": { "type": "object" }, "wrappedCommand": { "type": "string" }, "warnings": { "type": "array", "items": { "type": "string" } } } }, "url": "https://elpa.space/agent-tools/#shell-guard" }, { "slug": "stripe-signature", "title": "Stripe Signature", "category": "Webhook Safety", "description": "Verify Stripe webhook signatures with HMAC SHA-256 and timestamp tolerance checks.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/stripe-signature/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "rawBody", "signatureHeader", "webhookSecret" ], "properties": { "rawBody": { "type": "string" }, "signatureHeader": { "type": "string" }, "webhookSecret": { "type": "string" }, "toleranceSeconds": { "type": "integer", "default": 300 } } }, "responseSchema": { "type": "object", "properties": { "isValid": { "type": "boolean" }, "timestamp": { "type": "integer" }, "reason": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#stripe-signature" }, { "slug": "support-ticket-priority-triage", "title": "Support Ticket Priority Triage", "category": "Operations", "description": "Classify support tickets by urgency, revenue impact, abuse risk, missing data, and next action.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/support-ticket-priority-triage/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#support-ticket-priority-triage" }, { "slug": "syntax-validate", "title": "Syntax Validate", "category": "Code Safety", "description": "Compile-check JavaScript or TypeScript-like code without executing it before an agent commits a patch.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/syntax-validate/", "priceUSDC": 0.008, "requestSchema": { "type": "object", "required": [ "code" ], "properties": { "code": { "type": "string" }, "filename": { "type": "string", "default": "script.js" } } }, "responseSchema": { "type": "object", "properties": { "isValid": { "type": "boolean" }, "reason": { "type": "string" }, "details": { "type": "object" } } }, "url": "https://elpa.space/agent-tools/#syntax-validate" }, { "slug": "token-budget", "title": "Token Budget", "category": "Token Economy", "description": "Strip comments, collapse whitespace, and enforce a hard character budget with middle truncation.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/token-budget/", "priceUSDC": 0.004, "requestSchema": { "type": "object", "required": [ "content" ], "properties": { "content": { "type": "string" }, "maxCharacters": { "type": "integer", "default": 1000 }, "stripComments": { "type": "boolean", "default": true } } }, "responseSchema": { "type": "object", "properties": { "optimized": { "type": "string" }, "originalSize": { "type": "integer" }, "optimizedSize": { "type": "integer" }, "savingsPercent": { "type": "integer" } } }, "url": "https://elpa.space/agent-tools/#token-budget" }, { "slug": "toxicity-check", "title": "Toxicity Check", "category": "Content Safety", "description": "Classify simple English and Russian toxicity/profanity patterns in text before an agent posts or stores output.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/toxicity-check/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "text" ], "properties": { "text": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "isToxic": { "type": "boolean" }, "score": { "type": "number" }, "flaggedCategories": { "type": "array", "items": { "type": "string" } } } }, "url": "https://elpa.space/agent-tools/#toxicity-check" }, { "slug": "travel-itinerary-risk-check", "title": "Travel Itinerary Risk Check", "category": "Industry: Travel", "description": "Check itinerary notes for timing conflicts, transfer risk, visa/document gaps, weather sensitivity, and backup needs.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/travel-itinerary-risk-check/", "priceUSDC": 0.006, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#travel-itinerary-risk-check" }, { "slug": "unit-economics-snapshot", "title": "Unit Economics Snapshot", "category": "Economy", "description": "Summarize revenue, gross margin, payment fees, compute cost, refund risk, and contribution margin from compact inputs.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/unit-economics-snapshot/", "priceUSDC": 0.012, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#unit-economics-snapshot" }, { "slug": "vendor-risk-questionnaire-summarize", "title": "Vendor Risk Questionnaire Summarize", "category": "Compliance", "description": "Summarize vendor answers into risk flags, missing evidence, control owners, and follow-up questions.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/vendor-risk-questionnaire-summarize/", "priceUSDC": 0.014, "requestSchema": { "type": "object", "required": [ "subject" ], "properties": { "subject": { "type": "string", "description": "Company, page, API, document, product, dataset, or decision being scored." }, "context": { "type": "string", "description": "Compact notes, extracted text, rows summary, page copy, or structured brief." }, "url": { "type": "string" }, "data": { "type": "object", "description": "Optional structured facts, metrics, rows, or extracted fields." }, "signals": { "type": "array", "items": { "type": "string" } }, "goal": { "type": "string", "description": "Decision the buying agent wants to make." }, "constraints": { "type": "array", "items": { "type": "string" } }, "timeframe": { "type": "string" }, "market": { "type": "string" }, "currency": { "type": "string" } } }, "responseSchema": { "type": "object", "properties": { "tool": { "type": "string" }, "subject": { "type": "string" }, "score": { "type": "integer" }, "grade": { "type": "string" }, "confidence": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "priorityActions": { "type": "array", "items": { "type": "string" } }, "missingInputs": { "type": "array", "items": { "type": "string" } }, "machineActions": { "type": "array", "items": { "type": "object" } }, "evidenceRequests": { "type": "array", "items": { "type": "string" } }, "monetizationAngle": { "type": "string" } } }, "url": "https://elpa.space/agent-tools/#vendor-risk-questionnaire-summarize" }, { "slug": "x402-bazaar-metadata-lint", "title": "x402 Bazaar Metadata Lint", "category": "Agentic Web", "description": "Validate an x402 v2 payment requirement and Bazaar-facing resource metadata before agents discover or buy it.", "method": "POST", "endpoint": "https://elpa.space/api/v1/agent-tools/x402-bazaar-metadata-lint/", "priceUSDC": 0.005, "requestSchema": { "type": "object", "required": [ "paymentRequired" ], "properties": { "paymentRequired": { "type": "object", "description": "Decoded PAYMENT-REQUIRED or x402 payment requirement JSON." }, "resourceUrl": { "type": "string", "description": "Canonical resource URL when not embedded in paymentRequired.resource.url." }, "inputSchema": { "type": "object" }, "outputSchema": { "type": "object" } } }, "responseSchema": { "type": "object", "properties": { "score": { "type": "integer" }, "status": { "type": "string" }, "findings": { "type": "array", "items": { "type": "object" } }, "missingFields": { "type": "array", "items": { "type": "string" } }, "normalizedBazaarHints": { "type": "object" } } }, "url": "https://elpa.space/agent-tools/#x402-bazaar-metadata-lint" } ] }