{"uid":"cap_zFFtMF885rf3hvwudWZ4o","slug":"token-intel-agentdiet-dev-web-content-distillation-with-bm25-budget-f51043f7","name":"Web Content Distillation 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://token-intel.agentdiet.dev/v1/prompt-compress)","url":"https://token-intel.agentdiet.dev/v1/prompt-compress?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_wlVYwSD4eZr7xVpIioRiD","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"token-intel.agentdiet.dev","brandSlug":"token-intel-agentdiet-dev-mpp","brandBaseUrl":"https://token-intel.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches and distills a URL or raw HTML into compressed Markdown, structured JSON, skeleton outline, or BM25-ranked token-budgeted excerpts with ROI proof.","exampleAgentPrompt":"Distill https://stripe.com/docs/payments/accept-a-payment into budget mode focused on the query 'payment intent lifecycle', keeping it under 500 tokens, so I can include it in my prompt without blowing my context window.","exampleUseCases":[{"title":"Compress docs page into LLM context","prompt":"Fetch https://docs.openai.com/api-reference/chat and distill it in markdown mode so I can paste the essentials into my prompt without hitting token limits."},{"title":"BM25 excerpt for research query","prompt":"Distill https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) in budget mode with the query 'attention mechanism self-attention', capping it at 300 tokens — I just need the most relevant paragraphs."},{"title":"Skeleton outline of long report","prompt":"Take the raw HTML I'm pasting here and give me a skeleton outline of its structure — headings, subheadings, and key sections only, no body text."}],"resultDescription":"Returns a 'data' object containing the distilled content (Markdown string, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt depending on mode), plus an 'roi_proof' object with raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, roi_multiplier, and llm_cost_saved_usd. Also includes cache hit/miss status and billing details.","failureModes":["URL is unreachable or returns non-200 — fetch fails, error status returned","HTML payload is empty or malformed — distillation returns minimal or empty data object","max_tokens set below 20 — validation error","BM25 query provided without mode=budget — query may be ignored","Token budget too small for meaningful content — returns truncated excerpt with low ROI proof","Payment not authorized — x402 payment required response before execution"],"whenToPreferThis":"Choose this endpoint when you need to fit webpage or HTML content into a limited LLM context window and want measurable token savings with ROI proof. Prefer budget mode with a BM25 query when you only need sections relevant to a specific topic. Use markdown mode for general-purpose distillation. Best suited for agentic pipelines that need to retrieve and compress live web content in a single call rather than fetching and summarizing separately.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T06:36:48.313Z","isFirstParty":false,"canonicalSlug":"token-intel-agentdiet-dev-web-content-distillation-with-bm25-budget-d0ecea1f"}