{"uid":"cap_fwJJhwLGRKF6X6O8-1Ij-","slug":"sec-intel-agentdiet-dev-web-url-prompt-compressor-distiller-3936a4e9","name":"Web URL Prompt Compressor & Distiller","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://sec-intel.agentdiet.dev/v1/prompt-compress)","url":"https://sec-intel.agentdiet.dev/v1/prompt-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_D6H7SmT_t1up3Z7-_fr_w","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"sec-intel.agentdiet.dev","brandSlug":"sec-intel-agentdiet-dev-mpp","brandBaseUrl":"https://sec-intel.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a URL or raw HTML and returns a compact, agent-ready distillation using BM25 budget control and multiple extraction modes","exampleAgentPrompt":"Distill https://stripe.com/docs/api into compact markdown and keep it under 800 tokens, focusing the BM25 budget on 'payment intents'.","exampleUseCases":[{"title":"Compress docs to fit LLM context","prompt":"Fetch https://docs.openai.com/api-reference and compress it into structured markdown under 500 tokens so I can include it in my prompt without blowing the context window."},{"title":"BM25-focused competitor research snippet","prompt":"Distill https://www.anthropic.com/research into a budget excerpt of at most 300 tokens, using 'constitutional AI safety' as my focus query so I only get the most relevant parts."},{"title":"Skeleton outline of a long article","prompt":"Give me a skeleton outline of https://en.wikipedia.org/wiki/Large_language_model — just the headings and key structure, nothing verbose."}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled content (Markdown, structured tables, skeleton, or BM25 excerpt depending on mode), an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD, plus optional cache hit/miss metadata and billing details.","failureModes":["Invalid or unreachable URL returns an error status","max_tokens below minimum of 20 returns validation error","mode=budget without a query may return unfiltered or poorly ranked content","Large or JavaScript-heavy pages may fail to fetch or return incomplete HTML","Rate limiting or payment failure (HTTP 402) if USDC balance is insufficient"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to read a webpage but must stay within a strict token budget, wants BM25-ranked relevance filtering, or needs structured/skeleton extraction rather than raw HTML. Ideal for reducing LLM inference costs on large documentation pages, news articles, or API references. Prefer over generic scrapers when compression ratio and ROI proof are important outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:21:35.312Z","isFirstParty":false,"canonicalSlug":"sec-intel-agentdiet-dev-web-url-prompt-compressor-distiller-3936a4e9"}