{"uid":"cap_in47_5dQuzhpwGtWfu9Kf","slug":"mesh-agentdiet-dev-web-url-to-agent-ready-markdown-distiller-c39a4590","name":"Web URL to Agent-Ready Markdown Distiller","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://mesh.agentdiet.dev/v1/clean-html)","url":"https://mesh.agentdiet.dev/v1/clean-html?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","required":["url"],"properties":{"url":{"type":"string","minLength":1,"description":"Target webpage URL to fetch and distill (or builtin://stripe-docs)"},"html":{"type":"string","description":"Optional raw HTML string to distill directly without fetching"},"mode":{"enum":["markdown","structured","skeleton","budget"],"type":"string","default":"markdown","description":"Distillation mode"},"query":{"type":"string","description":"BM25 focus query when mode=budget"},"max_tokens":{"type":"integer","minimum":20,"description":"Strict token budget ceiling when mode=budget"}}},"responseSchema":{"type":"object","required":["status","roi_proof","data"],"properties":{"data":{"type":"object","description":"Distilled Markdown, structured JSON tables/metadata, skeleton outline, or BM25 budget excerpt."},"cache":{"type":"object","properties":{"status":{"enum":["HIT","MISS"],"type":"string"},"cache_key":{"type":"string"},"latency_ms":{"type":"number"}}},"status":{"type":"string","description":"Execution status ('ok')"},"billing":{"type":"object","properties":{"agent_id":{"type":"string"},"payment_method":{"type":"string"},"fee_charged_usd":{"type":"number"}}},"roi_proof":{"type":"object","properties":{"raw_tokens":{"type":"integer"},"tokens_saved":{"type":"integer"},"roi_multiplier":{"type":"number"},"distilled_tokens":{"type":"integer"},"llm_cost_saved_usd":{"type":"number"},"compression_ratio_pct":{"type":"number"}}}}},"example":null,"exampleRequest":null,"tags":[],"displayCostAmount":"0.001","displayCostAsset":"USD","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","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":"$0.001/call","primary":{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_H7NTNrtUKMCK9Yg0aK0--","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"mesh.agentdiet.dev","brandSlug":"mesh-agentdiet-dev-mpp","brandBaseUrl":"https://mesh.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a URL (or accepts raw HTML) and distills it into compact, token-efficient markdown, structured JSON, skeleton outline, or BM25-budget-focused excerpts for AI agent consumption.","exampleAgentPrompt":"Can you fetch https://stripe.com/docs/payments and distill it into clean markdown using budget mode, focused on 'refund flow', with a max of 500 tokens?","exampleUseCases":[{"title":"RAG ingestion with token budget","prompt":"Grab https://docs.openai.com/api-reference and distill it down to at most 800 tokens in budget mode, focused on the query 'streaming completions', so I can feed it into my RAG pipeline without blowing my context window."},{"title":"Structured data extraction from landing page","prompt":"Fetch https://linear.app/pricing and give me a structured distillation of the page — I need the pricing tiers and feature lists as clean JSON tables."},{"title":"Quick skeleton outline of documentation","prompt":"Pull https://docs.anthropic.com/en/docs/overview and give me a skeleton outline of the page so I can see the section headers and overall structure without reading the whole thing."}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled content (markdown text, structured JSON tables, skeleton outline, or BM25-focused excerpt depending on mode), plus an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, roi_multiplier, and llm_cost_saved_usd. Also includes optional cache hit/miss status and billing details.","failureModes":["URL is unreachable or returns non-200 HTTP status — endpoint may return an error status","HTML payload is too large or malformed — distillation may fail or produce degraded output","mode=budget used without a query parameter — BM25 focus may default or error","max_tokens set below minimum of 20 — returns validation error","Rate limiting or payment failure via x402 — request blocked if USDC payment not settled","Target site blocks automated fetching (bot protection) — may return incomplete or empty content"],"whenToPreferThis":"Choose this endpoint when you need to feed live web content into an LLM pipeline and must stay within a token budget. It is especially valuable for RAG ingestion, documentation Q&A, and agent grounding tasks where raw HTML would be too verbose. Prefer it over generic scrapers when you need BM25-ranked relevance filtering, structured JSON table extraction, or skeleton outlines in addition to plain markdown. The built-in ROI proof (tokens saved, compression ratio) makes it easy to justify cost versus passing raw content directly to an LLM.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:21:39.526Z","isFirstParty":false,"canonicalSlug":"mesh-agentdiet-dev-web-url-to-agent-ready-markdown-distiller-c39a4590"}