{"uid":"cap_8ypVdYvWKWuHyWn2XlPHw","slug":"company-enrich-agentdiet-dev-web-url-prompt-compressor-with-bm25-b60ec2fc","name":"Web URL 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://company-enrich.agentdiet.dev/v1/prompt-compress)","url":"https://company-enrich.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_HkSfvnqSrNINcIoTtbdRs","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"company-enrich.agentdiet.dev","brandSlug":"company-enrich-agentdiet-dev-mpp","brandBaseUrl":"https://company-enrich.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a URL or raw HTML and distills it into compact, agent-ready tokens using configurable modes including markdown, structured, skeleton, or BM25 budget-limited excerpts","exampleAgentPrompt":"Can you distill https://stripe.com/docs/api into compact markdown using budget mode, focused on 'payment intents', and keep it under 500 tokens?","exampleUseCases":[{"title":"Compressing docs into LLM context","prompt":"Grab https://docs.openai.com/api-reference and distill it into structured mode so I can fit the key tables and metadata into my agent's context without blowing the token limit."},{"title":"BM25 focused research excerpt","prompt":"Fetch https://www.sec.gov/cgi-bin/browse-edgar and extract only the parts relevant to 'annual report 10-K filings' using budget mode with a max of 300 tokens."},{"title":"Skeleton outline of a long article","prompt":"Take this URL https://en.wikipedia.org/wiki/Large_language_model and give me a skeleton outline of the page structure so I can decide which sections to dive into."}],"resultDescription":"Returns a distilled version of the webpage content in the requested mode (markdown, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt), along with ROI proof metrics including raw token count, distilled token count, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and optional cache hit/miss status and billing details.","failureModes":["Invalid or unreachable URL returns an error status","Mode set to 'budget' without providing 'query' may return unfiltered or degraded output","max_tokens set below minimum of 20 causes validation failure","Raw HTML too large may cause timeout or truncation","URL behind authentication walls cannot be fetched","Malformed HTML may produce low-quality distillation output"],"whenToPreferThis":"Choose this endpoint when you need to inject web page content into an LLM prompt but must control token usage — especially when the raw page would exceed context limits or inflate LLM costs. It is ideal for agent pipelines that fetch documentation, articles, or structured web data and need BM25-ranked, budget-constrained, or outline-only excerpts rather than full HTML. Prefer it over generic scraping endpoints when token ROI and cost savings need to be measurable and auditable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:22:56.143Z","isFirstParty":false,"canonicalSlug":"company-enrich-agentdiet-dev-web-url-prompt-compressor-with-bm25-b60ec2fc"}