{"uid":"cap_J4M6FI6LiceL3r-KOurCS","slug":"mesh-agentdiet-dev-web-url-html-prompt-compressor-with-bm25-budget-271b5ba7","name":"Web URL & HTML Prompt Compressor 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://mesh.agentdiet.dev/v1/prompt-compress)","url":"https://mesh.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_0UICJjxyGkdfMm93dHu_U","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 a URL or accepts raw HTML and distills it into compact, agent-ready tokens using configurable modes including BM25-ranked budget excerpts","exampleAgentPrompt":"Can you distill https://stripe.com/docs/api into compact markdown under 1000 tokens, focusing on the query 'payment intents' so I don't burn my context window?","exampleUseCases":[{"title":"Compress docs page for agent context","prompt":"Grab the content from https://docs.openai.com/api-reference and distill it into compact markdown — keep it under 800 tokens so I can fit it in my prompt."},{"title":"BM25 budget excerpt for research query","prompt":"I need only the most relevant parts of https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) about 'attention mechanism' — use budget mode with a 500 token ceiling."},{"title":"Structured JSON tables from a pricing page","prompt":"Distill https://vercel.com/pricing into structured JSON tables so my agent can easily parse the plan names, limits, and prices."}],"resultDescription":"Returns a 'data' object containing distilled content in the requested format (markdown, structured JSON, skeleton, or BM25 excerpt), along with an ROI proof object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, and llm_cost_saved_usd. Also includes cache status (HIT/MISS) and billing details.","failureModes":["Invalid or unreachable URL returns an error status","URL behind a login wall or bot protection may return incomplete content","max_tokens ceiling too low to contain meaningful content","mode=budget without a query falls back to default behavior","Raw HTML too large may time out or be truncated","Payment not resolved results in HTTP 402 response"],"whenToPreferThis":"Choose this endpoint when you need to feed web page content into an LLM but want to minimize token usage and cost. Especially valuable when the target page is verbose (docs, wikis, news articles) and you need either a clean markdown summary, structured tables, a lightweight skeleton, or a BM25-ranked excerpt focused on a specific query. Prefer over raw fetching when token budget is a constraint or when you need ROI proof of compression savings.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:25:59.131Z","isFirstParty":false,"canonicalSlug":"mesh-agentdiet-dev-web-url-html-prompt-compressor-with-bm25-budget-271b5ba7"}