{"uid":"cap_vDMAyIZy2oU64wqEsGG7P","slug":"mesh-agentdiet-dev-agentdiet-token-optimizer-bm25-web-distillation-197d74ee","name":"AgentDiet Token Optimizer — BM25 Web Distillation","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://mesh.agentdiet.dev/v1/token-optimizer)","url":"https://mesh.agentdiet.dev/v1/token-optimizer?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_PMq-cSxmZCzcrjm7bSIvw","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"mesh.agentdiet.dev","brandSlug":"mesh-agentdiet-dev-mpp","brandBaseUrl":"https://mesh.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches and compresses a URL or raw HTML into token-efficient markdown, structured JSON, outline skeleton, or BM25-focused budget excerpt to reduce LLM context costs","exampleAgentPrompt":"Fetch https://stripe.com/docs/api and distill it into clean markdown using budget mode focused on 'payment intent creation', keeping it under 800 tokens so I'm not wasting context.","exampleUseCases":[{"title":"Focused doc extraction for coding agent","prompt":"Pull the Stripe docs from https://stripe.com/docs/api/charges and give me only the parts about creating a charge — use budget mode with query 'create charge' and cap it at 500 tokens."},{"title":"Cheap web grounding for research pipeline","prompt":"I need to read https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) without blowing my token budget — distill it into markdown and tell me how many tokens you saved."},{"title":"Structured data extraction from a landing page","prompt":"Scrape https://openai.com/pricing and return it as structured JSON tables so I can compare the model tiers without manually parsing all that HTML."}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled content (markdown string, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt depending on mode), plus an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, and llm_cost_saved_usd. Also includes cache hit/miss status and billing details.","failureModes":["URL unreachable or returns non-200 — fetch error returned","HTML payload too large or malformed — processing error","max_tokens below minimum of 20 — validation error","BM25 query missing when mode=budget — incomplete results or error","Rate limit or payment failure via x402 — 402 Payment Required response","Invalid mode enum value — schema validation error"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to read web pages or HTML documents without consuming excessive LLM context tokens — especially when working within a strict token budget or needing only query-relevant sections via BM25 ranking. Prefer it over raw web scraping when token efficiency and LLM cost reduction are priorities, or when structured/skeleton output is needed instead of raw HTML. Particularly valuable in agentic pipelines that process many URLs and need compression ROI metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T06:33:52.278Z","isFirstParty":false,"canonicalSlug":"mesh-agentdiet-dev-agentdiet-token-optimizer-bm25-web-distillation-197d74ee"}