{"uid":"cap_L0M-Jdt7C6pTCF_aX9k_b","slug":"agentdiet-llm-documentation-distillation-generator-57e0c402","name":"AgentDiet LLM Documentation Distillation Generator","description":"15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).","url":"https://github-audit-72343955726.us-central1.run.app/v1/llms-generator?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"data":{"mode":"markdown","title":"Example Documentation","content":"# Example Documentation\nClean agent-ready markdown..."},"status":"ok","roi_proof":{"raw_tokens":14200,"tokens_saved":13520,"roi_multiplier":67.6,"distilled_tokens":680,"compression_ratio_pct":95.2}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.015","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.015/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.015","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.015","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_naIWlQlGop3X7Kjqnvq2S","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.015","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches and distills web or documentation content into compressed, agent-ready markdown with ROI metrics showing token savings","exampleAgentPrompt":"Distill the documentation at https://docs.example.com/api into clean agent-ready markdown and tell me how many tokens it saved compared to the raw version.","exampleUseCases":[{"title":"Compress API docs for agent ingestion","prompt":"Take the full documentation at https://stripe.com/docs/api and distill it into compact markdown my agent can read without blowing the context window — show me the compression ratio too."},{"title":"Reduce token cost for research pipeline","prompt":"I'm building an agent that reads competitor product pages. Distill https://openai.com/pricing into lean markdown so I can cut my token spend — what's the ROI multiplier I'd get?"},{"title":"Prepare technical readme for downstream LLM","prompt":"Grab the README at https://github.com/langchain-ai/langchain and distill it into clean, structured markdown my LLM can process efficiently without all the noise."}],"resultDescription":"Returns a JSON object containing: distilled markdown content with a title, a status field, and an roi_proof block showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, and roi_multiplier — quantifying exactly how much the content was compressed.","failureModes":["Source URL unreachable or returns non-200 — distillation cannot proceed","Content too short or already minimal — low compression ratio, minimal token savings","Payment not completed via x402/HTTP 402 — request blocked before processing","Rate limit exceeded — too many calls in short window","Malformed or non-HTML/non-markdown source — parser may return incomplete output"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to ingest web or documentation content but must minimize token consumption. It is ideal when raw page content is too verbose for a context window, when you want quantified proof of compression savings (ROI multiplier, tokens saved), or when you need clean markdown output rather than raw HTML. Prefer this over general scrapers when token efficiency and agent-readability are the primary goals.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T06:40:47.744Z","isFirstParty":false,"canonicalSlug":"agentdiet-llm-documentation-distillation-generator-57e0c402"}