{"uid":"cap_cJ0CxwdtaSC4evStw0_Ck","slug":"token-intel-agentdiet-dev-rag-token-diet-web-url-distiller-985e96d1","name":"RAG Token Diet — Web URL Distiller","description":"Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://token-intel.agentdiet.dev/v1/rag-token-diet)","url":"https://token-intel.agentdiet.dev/v1/rag-token-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_8Rw2cPwSfXd1WsYL9_fOE","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"token-intel.agentdiet.dev","brandSlug":"token-intel-agentdiet-dev-mpp","brandBaseUrl":"https://token-intel.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches and compresses a webpage URL (or raw HTML) into compact agent-ready tokens using Markdown, structured, skeleton, or BM25-budgeted extraction modes","exampleAgentPrompt":"Distill the Stripe docs page at https://docs.stripe.com/payments into compact markdown — keep it under 500 tokens and focus the BM25 budget on 'payment intents'.","exampleUseCases":[{"title":"Fitting documentation into a context window","prompt":"Pull the content from https://docs.openai.com/api-reference and distill it into structured mode so I can load just the key tables and metadata into my agent without blowing the context window."},{"title":"Budget-focused retrieval for a research question","prompt":"Fetch https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) in budget mode with a max of 300 tokens, focused on 'attention mechanism' so I get only the most relevant excerpt."},{"title":"Skeleton outline of a long article","prompt":"Give me a skeleton outline of this article at https://www.nytimes.com/2024/01/15/technology/ai-chips-supply.html so I can see the structure and key headings without reading the whole thing."}],"resultDescription":"Returns a 'data' object containing the distilled content in the requested format (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt), alongside an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, LLM cost saved in USD, and ROI multiplier. Also includes optional cache hit/miss status and billing details.","failureModes":["URL unreachable or returns non-200 HTTP status — endpoint may return an error status","URL resolves to non-HTML content (PDF, binary) — distillation may fail or return empty data","max_tokens set too low for meaningful extraction — may return truncated or empty excerpt","Invalid mode enum value — request rejected with validation error","Raw HTML too large — may timeout or exceed processing limits","Paywalled or JavaScript-heavy pages may return minimal content"],"whenToPreferThis":"Choose this endpoint when you need to read a webpage but must stay within a strict LLM token budget, or when you want structured/outline extraction rather than raw HTML. Particularly valuable in RAG pipelines where you need BM25-focused retrieval against a specific query from a live URL. Prefer over raw fetch when token efficiency and ROI measurement matter, or when you need Markdown/JSON normalization of arbitrary web content.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T12:51:23.018Z","isFirstParty":false,"canonicalSlug":"token-intel-agentdiet-dev-rag-token-diet-web-url-distiller-985e96d1"}