{"uid":"cap_2JEqXn_EEvK5---zwVnHu","slug":"token-intel-agentdiet-dev-web-url-dom-distiller-compact-agent-ready-2bce6ace","name":"Web URL DOM Distiller — Compact Agent-Ready Tokens","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/dom-stripper)","url":"https://token-intel.agentdiet.dev/v1/dom-stripper?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_vRCkr28w5grQENFGpqjjV","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 a URL or raw HTML and distills it into compressed, agent-ready content (Markdown, structured JSON, skeleton outline, or BM25-budget excerpt) with token savings reporting.","exampleAgentPrompt":"Can you distill https://stripe.com/docs/payments/checkout into compact markdown, keeping it under 2000 tokens and focusing on the 'payment intent' topic using budget mode?","exampleUseCases":[{"title":"Research digest for agent pipeline","prompt":"Fetch https://openai.com/blog/gpt-4o and distill it into clean markdown so I can feed just the key content into my next agent step without blowing my token budget."},{"title":"Structured data extraction from landing page","prompt":"Pull the pricing page at https://vercel.com/pricing and give me a structured JSON breakdown of all the plan tiers and features — I want tables, not the full page HTML."},{"title":"BM25-focused excerpt for Q&A","prompt":"Distill https://docs.aws.amazon.com/lambda/latest/dg/welcome.html in budget mode with a focus query on 'cold start latency' and cap the output at 500 tokens so I can answer a user question cheaply."}],"resultDescription":"Returns a distilled representation of the webpage in the requested mode (Markdown, structured JSON, skeleton outline, or BM25-focused excerpt), along with token savings metrics including raw token count, distilled token count, compression ratio percentage, tokens saved, estimated LLM cost saved in USD, and ROI multiplier. Also includes cache hit/miss status and billing details.","failureModes":["URL unreachable or returns non-200 status — endpoint may return an error status","HTML too large or malformed — distillation may fail or return partial content","max_tokens set too low — may return truncated or empty excerpt","BM25 query returns no relevant passages — budget mode may return minimal content","Invalid mode enum value — returns validation error","Payment not completed (x402) — returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to read web content but must stay within a token budget — especially for long documentation pages, blog posts, or structured data pages. Prefer this over raw web fetch when token cost matters, when you need BM25-targeted excerpts relevant to a specific query, or when you want structured/skeleton output rather than raw HTML. Ideal for agent pipelines where LLM input costs are a concern.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:23:42.140Z","isFirstParty":false,"canonicalSlug":"token-intel-agentdiet-dev-web-url-dom-distiller-compact-agent-ready-2bce6ace"}