{"uid":"cap_r4yN6cNgJy2Qrh66hD5au","slug":"github-audit-agentdiet-dev-agentdiet-context-compress-web-url-fcc78000","name":"AgentDiet Context Compress — Web URL Distillation","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://github-audit.agentdiet.dev/v1/context-compress)","url":"https://github-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_AHMM2WmLz3PkPsRdPMHl1","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"github-audit.agentdiet.dev","brandSlug":"github-audit-agentdiet-dev-mpp","brandBaseUrl":"https://github-audit.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a URL or raw HTML and compresses it into compact, agent-ready tokens using BM25 budget control and multiple distillation modes","exampleAgentPrompt":"Distill the content at https://stripe.com/docs/api into compact markdown, keeping it under 800 tokens and focusing on payment intents.","exampleUseCases":[{"title":"Fit documentation into context window","prompt":"Take this URL https://docs.openai.com/api-reference and compress it into markdown under 1000 tokens so I can include it in my agent's context without blowing the budget."},{"title":"BM25 topic-focused page excerpt","prompt":"Fetch https://www.anthropic.com/research and extract only the parts most relevant to 'constitutional AI', keeping the output under 500 tokens using budget mode."},{"title":"Raw HTML cleanup for downstream agent","prompt":"I have raw HTML from a job listing page — can you distill it into structured JSON tables and metadata so my agent can parse the salary, requirements, and company name cleanly?"}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled content (Markdown text, structured JSON tables/metadata, a skeleton outline, or a BM25-focused budget excerpt depending on mode), plus an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, llm_cost_saved_usd, and roi_multiplier, and optional cache hit/miss status and billing details.","failureModes":["URL is unreachable or returns a non-200 HTTP status — service may return an error status","URL resolves to a page with no extractable text (e.g. fully JavaScript-rendered SPA with no SSR) — output may be empty or minimal","max_tokens set too low (below 20) — request rejected by schema validation","mode=budget used without providing a query — BM25 scoring may be unfocused","Payment not authorized via x402 — 402 Payment Required response blocking the call","Raw HTML provided is malformed or too large — may cause truncation or parse errors"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to read or reference web content but must stay within a token budget, when you want to preprocess a URL before including it in a prompt, or when you need BM25-ranked passage extraction focused on a specific query. It is especially useful over generic scrapers when you care about downstream LLM cost savings and need structured ROI metrics on compression. Prefer it over raw HTTP fetch + manual truncation when you want mode-driven distillation (markdown, structured, skeleton, or budget) in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:24:26.808Z","isFirstParty":false,"canonicalSlug":"github-audit-agentdiet-dev-agentdiet-context-compress-web-url-fcc78000"}