{"uid":"cap_Yioue396W7bIrsFc8qQcs","slug":"agentdiet-llm-documentation-distiller-markdown-generator-0d947312","name":"AgentDiet LLM Documentation Distiller (Markdown 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://email-verify-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_2OUBN9AA6FdiWN9E5XgY5","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 content or documentation into compressed, agent-ready markdown with token-efficiency metrics","exampleAgentPrompt":"Distill the documentation at https://docs.example.com/api-reference into clean agent-ready markdown and show me the token compression ratio and how many tokens I'm saving compared to the raw page.","exampleUseCases":[{"title":"Compress API docs for agent pipeline","prompt":"Take the full documentation at https://stripe.com/docs/api and distill it down to clean markdown my agent can actually read — I want to see the compression ratio and token savings too."},{"title":"Reduce LLM context cost for research","prompt":"I'm burning too many tokens sending raw web pages to my LLM. Can you distill https://platform.openai.com/docs/guides/function-calling into lean markdown and tell me the ROI multiplier I'd get?"},{"title":"Feed scraped content cleanly to downstream agent","prompt":"Grab the content from https://docs.uniswap.org and give me a distilled markdown version optimized for agent consumption, along with how many raw tokens you compressed it from."}],"resultDescription":"Returns a JSON object containing: distilled markdown text under data.content with a title and mode field, plus roi_proof metrics including raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct (e.g. 95.2%), and roi_multiplier (e.g. 67.6x). The agent receives clean, structured markdown ready for downstream LLM consumption alongside proof of token efficiency gains.","failureModes":["Target URL is inaccessible or returns non-200 — distillation cannot proceed","URL points to non-text content (e.g. PDF binary, image) — markdown generation fails","Source page has bot protection (Cloudflare, CAPTCHA) — content fetch blocked","Payment of $0.015 USDC via x402 not provided or rejected — HTTP 402 returned","Very short source page with minimal content — compression ratio near zero, low ROI","Rate limiting or quota exceeded on the underlying fetch infrastructure"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to consume large web pages or documentation with minimal token overhead — especially when context window cost or LLM billing is a concern. It is ideal when you need measurable compression proof (ratio, tokens saved) rather than a raw scrape. Prefer it over generic web scrapers when the output format must be clean markdown optimized for LLM ingestion, or when integrating into a pipeline that charges per token. Less suitable for structured data extraction (JSON tables, schema data) or when the full raw HTML is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T06:41:37.356Z","isFirstParty":false,"canonicalSlug":"agentdiet-llm-documentation-distiller-markdown-generator-0d947312"}