{"uid":"cap_ki8AvBUdGBHcKGO3s69BA","slug":"llms-generator-agentdiet-dev-web-page-html-distiller-with-bm25-budget-e23b9c5c","name":"Web Page & HTML 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://llms-generator.agentdiet.dev/v1/article-extractor)","url":"https://llms-generator.agentdiet.dev/v1/article-extractor?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_HW2klR8mIrTv61VmCwWT1","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"llms-generator.agentdiet.dev","brandSlug":"llms-generator-agentdiet-dev-mpp","brandBaseUrl":"https://llms-generator.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a URL or accepts raw HTML and distills it into clean Markdown, structured JSON, a skeleton outline, or a token-budgeted BM25 excerpt","exampleAgentPrompt":"Fetch https://stripe.com/docs/payments/accept-a-payment and distill it into clean Markdown, keeping it under 800 tokens and focused on the query 'how to accept a card payment' using budget mode.","exampleUseCases":[{"title":"LLM context window compression","prompt":"Take this URL https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) and distill it into Markdown under 1000 tokens, focusing on the query 'self-attention mechanism' using budget mode — I need it small enough to fit in my prompt."},{"title":"Structured data extraction from product page","prompt":"Grab the HTML from this e-commerce page at https://example-store.com/products/widget and distill it in structured mode so I get back JSON tables with the product details, pricing, and metadata."},{"title":"Documentation skeleton for agent navigation","prompt":"Distill https://docs.openai.com/api-reference into skeleton mode so I get a high-level outline of all the sections — I just need the structure, not the full content."}],"resultDescription":"Returns a data object containing the distilled content (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt depending on mode), plus an roi_proof block showing raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD. Also includes optional cache hit/miss status and billing details.","failureModes":["URL is unreachable or returns a non-200 status — endpoint may return an error status","URL points to a paywalled or bot-blocked page — content may be empty or partial","max_tokens set too low for meaningful BM25 extraction — may return truncated or empty excerpt","HTML input is malformed beyond recovery — distillation may fail or return minimal output","Payment not attached or insufficient — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need to feed web page content into an LLM pipeline but need to minimize token usage — particularly when you have a specific query focus (BM25 mode) or a hard token ceiling. It is preferable over generic scrapers when compression ratio and ROI proof matter, or when you want structured JSON tables or skeleton outlines rather than raw HTML dumps. Especially useful for agent workflows that must stay within context window limits.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T06:32:37.117Z","isFirstParty":false,"canonicalSlug":"llms-generator-agentdiet-dev-web-page-html-distiller-with-bm25-budget-e23b9c5c"}