{"uid":"cap_537B4Dey1F1sO5aS-DBgl","slug":"alpha-stream-agentdiet-dev-web-url-context-compressor-agentdiet-1ef9b7b8","name":"Web URL Context Compressor (AgentDiet)","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/v1/context-compress)","url":"https://alpha-stream.agentdiet.dev/v1/context-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_zD39P3CkfjTnyXLfP892z","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 raw HTML and distills it into compact, agent-ready tokens using BM25 budget control and multiple extraction modes","exampleAgentPrompt":"Fetch https://stripe.com/docs/payments and distill it into compact markdown using budget mode focused on the query 'payment intents', capped at 500 tokens.","exampleUseCases":[{"title":"Compress API docs for agent context","prompt":"Grab the Stripe documentation at https://stripe.com/docs/api and distill it into structured mode so I can load just the key tables and metadata into my agent without blowing my context window."},{"title":"BM25 budget excerpt for research query","prompt":"Pull https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and extract only the parts relevant to 'attention mechanism' in budget mode, capped at 300 tokens."},{"title":"Skeleton outline of a long article","prompt":"Distill https://www.paulgraham.com/greatwork.html into a skeleton outline so I can see the structure of the essay without reading the whole thing."}],"resultDescription":"Returns a status field, distilled content object (Markdown, structured JSON, skeleton, or BM25 excerpt depending on mode), cache hit/miss metadata, billing info, and an roi_proof block showing raw token count, distilled token count, tokens saved, compression ratio percentage, ROI multiplier, and estimated LLM cost saved in USD.","failureModes":["URL is unreachable or returns non-200 status — fetch fails with error","Invalid or missing URL parameter — returns validation error","Token budget too low (below minimum of 20) — rejected by schema validation","BM25 query empty when mode=budget — may fall back to full content or error","Raw HTML too large — may time out or be truncated","Page behind authentication/paywall — content not accessible","Malformed HTML — distillation may produce poor or empty output"],"whenToPreferThis":"Choose this endpoint when you need to load external web content into an LLM context window but want to minimize token usage. It is especially valuable when working with long documentation pages, articles, or any URL where full content would exceed your context budget. Prefer budget mode with a query when you need only the most relevant passages (BM25 relevance ranking), structured mode when you need tabular or metadata extraction, and skeleton mode for high-level outlines. This is distinct from generic web scrapers because it returns token-optimized, LLM-ready output with compression metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T12:51:29.630Z","isFirstParty":false,"canonicalSlug":"alpha-stream-agentdiet-dev-web-url-context-compressor-agentdiet-1ef9b7b8"}