{"uid":"cap_RzVLzhjJSXNKHcRN4F-cF","slug":"x402-audit-agentdiet-dev-web-url-context-compressor-bm25-budget-control-cab663ba","name":"Web URL Context Compressor (BM25 Budget Control)","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://x402-audit.agentdiet.dev/v1/context-compress)","url":"https://x402-audit.agentdiet.dev/v1/context-compress?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_5cemyCnTqdUf6rFR-iU1U","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"x402-audit.agentdiet.dev","brandSlug":"x402-audit-agentdiet-dev-mpp","brandBaseUrl":"https://x402-audit.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches and distills a web URL or raw HTML into compact, agent-ready tokens with multiple extraction modes including BM25-focused budget control","exampleAgentPrompt":"Can you distill https://stripe.com/docs/payments/accept-a-payment into compact markdown, keeping it under 800 tokens and focusing on the query 'accept payment integration'?","exampleUseCases":[{"title":"Compress docs page for agent context","prompt":"Grab https://docs.openai.com/api-reference/chat and distill it into structured markdown — I need to keep the token count under 1000 so it fits in my agent's context window."},{"title":"BM25 focused research snippet","prompt":"Pull https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and use budget mode with the query 'attention mechanism self-attention' to give me only the most relevant excerpt, capped at 500 tokens."},{"title":"Extract structured tables from financial page","prompt":"Take this SEC filing page https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=AAPL and extract it in structured mode so I get the tables and metadata as clean JSON."}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled content (Markdown, structured JSON, 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","URL points to non-HTML content (PDF, binary) — extraction may fail or return empty data","Token budget too low (max_tokens below 20) — rejected by schema validation","BM25 query provided without mode=budget — query parameter is silently ignored","Raw HTML and URL both omitted — URL is required and missing will cause a validation error","Network timeout fetching the target URL — may return a timeout error","Payment not completed via x402 — returns HTTP 402 with payment instructions"],"whenToPreferThis":"Choose this endpoint when you need to feed web page content into an LLM context window but want to minimize token usage and cost. It is especially valuable when you have a strict token budget (use mode=budget with a BM25 query to surface only the most relevant passage), when you need structured tables or metadata from a page (mode=structured), or when a high-level outline suffices (mode=skeleton). Prefer it over raw web scraping when downstream LLM token cost matters, and when you want quantified proof of compression savings (ROI multiplier and cost saved are returned with every response).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:23:33.271Z","isFirstParty":false,"canonicalSlug":"x402-audit-agentdiet-dev-web-url-context-compressor-bm25-budget-control-cab663ba"}