{"uid":"cap_SoNaIq6Lmoh1_WuklsKKb","slug":"alpha-stream-agentdiet-dev-agentdiet-web-url-distiller-33c1f1db","name":"AgentDiet Web URL Distiller","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://alpha-stream.agentdiet.dev/api/diet)","url":"https://alpha-stream.agentdiet.dev/api/diet?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_cecxfOiQKp0KpO2ZEI4vZ","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"alpha-stream.agentdiet.dev","brandSlug":"alpha-stream-agentdiet-dev-mpp","brandBaseUrl":"https://alpha-stream.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a URL (or accepts raw HTML) and compresses it into compact, agent-ready tokens using BM25 budget control and multiple extraction modes","exampleAgentPrompt":"Distill https://docs.stripe.com/payments into compact markdown so I can read the key content without blowing my token budget — use budget mode with a query for 'payment intents' and cap it at 500 tokens.","exampleUseCases":[{"title":"Compress docs page before LLM summarization","prompt":"Fetch https://platform.openai.com/docs/guides/embeddings and distill it into clean markdown so I can pass the essentials to my model without using thousands of tokens."},{"title":"BM25 budget extraction for targeted research","prompt":"Pull https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) in budget mode, focus the query on 'attention mechanism', and keep it under 300 tokens so I only get the most relevant parts."},{"title":"Structured data extraction from a landing page","prompt":"Distill https://stripe.com/pricing into structured mode so I can get the pricing tables and plan metadata as clean JSON without all the HTML noise."}],"resultDescription":"Returns a 'data' object containing the distilled content (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt depending on mode), plus an 'roi_proof' object with raw token count, distilled token count, tokens saved, compression ratio percentage, ROI multiplier, and estimated LLM cost saved in USD. Also includes cache status and billing details.","failureModes":["Invalid or unreachable URL returns an error status","Raw HTML too large may be rejected or truncated","mode=budget without a query or max_tokens may produce unoptimized output","Network timeouts when fetching slow or blocked pages","Token ceiling too low (below 20) returns a validation error","Payment failure via x402 prevents execution"],"whenToPreferThis":"Choose this endpoint when an agent needs to read and process web content but must stay within a token budget or minimize LLM costs. It is especially valuable when you have a specific topic query (BM25 mode), need structured extraction (tables, metadata), or want a skeleton outline rather than full page content. Prefer it over raw scraping tools when token efficiency is critical.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T12:51:31.463Z","isFirstParty":false,"canonicalSlug":"alpha-stream-agentdiet-dev-agentdiet-web-url-distiller-919a91fa"}