{"uid":"cap_lnMz4PZCxQmjCaHIwoloy","slug":"company-enrich-agentdiet-dev-html-url-to-markdown-distiller-with-bm25-a44dd3b1","name":"HTML/URL to Markdown Distiller with BM25 Budget Control","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://company-enrich.agentdiet.dev/v1/html-to-markdown)","url":"https://company-enrich.agentdiet.dev/v1/html-to-markdown?utm_source=zero.xyz","method":"POST","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_ygE0y2pXsJf4wReKkohT1","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"company-enrich.agentdiet.dev","brandSlug":"company-enrich-agentdiet-dev-mpp","brandBaseUrl":"https://company-enrich.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a URL or accepts raw HTML and distills it into clean Markdown, structured JSON, skeleton outlines, or BM25-focused token-budget excerpts","exampleAgentPrompt":"Fetch the page at https://stripe.com/docs/payments and distill it into clean markdown using budget mode focused on 'payment intents', keeping it under 500 tokens so I can pass it to my LLM cheaply.","exampleUseCases":[{"title":"LLM-ready webpage summarization","prompt":"Grab the content from https://openai.com/research/gpt-4 and convert it to clean markdown — I want to feed it into my LLM pipeline without all the nav and footer noise."},{"title":"Token-budget research excerpt","prompt":"Pull the page at https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and give me a BM25 budget excerpt focused on 'attention mechanism', capped at 300 tokens, so I can stay within my context window."},{"title":"Structured data extraction from HTML","prompt":"I have this raw HTML from our internal CRM export — can you distill it in structured mode so I get the tables and metadata as clean JSON instead of messy markup?"}],"resultDescription":"Returns a JSON object containing distilled content (Markdown, structured JSON, skeleton, or BM25 excerpt depending on mode), an ROI proof object with raw vs. distilled token counts, compression ratio, tokens saved, and estimated LLM cost saved in USD, plus optional cache hit/miss status and billing details.","failureModes":["URL is unreachable or returns a non-200 status — endpoint may return an error status","Raw HTML is empty or malformed — distillation may yield minimal output","max_tokens set below minimum of 20 — validation error","mode=budget used without a query parameter — BM25 ranking cannot focus without a query","Rate limiting or payment failure via x402 — 402 response with payment required","Idempotency key reuse with different payloads — may return cached prior result"],"whenToPreferThis":"Choose this endpoint when you need to feed web content into an LLM and want to minimize token cost and noise — especially when you have a strict token budget or a specific query focus. It is distinct from generic scrapers because it returns ROI metrics (tokens saved, compression ratio, LLM cost saved) and supports BM25-ranked budget excerpts, making it purpose-built for agentic LLM pipelines rather than raw data extraction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T06:32:29.922Z","isFirstParty":false,"canonicalSlug":"company-enrich-agentdiet-dev-html-url-to-markdown-distiller-with-bm25-a44dd3b1"}