{"uid":"cap_pKIMg6aNRJDgZmgvdfhh3","slug":"json-repair-agentdiet-dev-agentdiet-web-url-distiller-35aee71d","name":"AgentDiet Web URL Distiller","description":"Distill a web URL into compact agent-ready tokens (Live x402 v2, IETF MPP & MCP endpoint at https://json-repair.agentdiet.dev/api/diet)","url":"https://json-repair.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 distill (or builtin://stripe-docs)"},"mode":{"enum":["markdown","structured","skeleton","budget"],"type":"string","default":"markdown","description":"Extraction mode: markdown, structured, skeleton, or budget"},"query":{"type":"string","description":"BM25 focus query when mode=budget"},"max_tokens":{"type":"integer","minimum":20,"description":"Strict token 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_tOiDzaY3ejoNOlzcRd3hR","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"json-repair.agentdiet.dev","brandSlug":"json-repair-agentdiet-dev-mpp","brandBaseUrl":"https://json-repair.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Fetches a webpage and compresses it into compact, agent-ready tokens using markdown, structured, skeleton, or BM25-budget extraction modes","exampleAgentPrompt":"Can you distill https://stripe.com/docs/api into compact markdown — I want to minimize tokens before I pass it to my LLM pipeline, so keep it tight.","exampleUseCases":[{"title":"LLM context window trimming","prompt":"Distill https://openai.com/pricing into structured mode so I can pull out the pricing tables and metadata without blowing my context window."},{"title":"Budget-aware focused research","prompt":"I need the key points about refund policies from https://docs.shopify.com/manual/payments/refunds — use budget mode, focus query 'refund policy', and cap it at 500 tokens."},{"title":"Skeleton outline for doc navigation","prompt":"Can you get me a skeleton outline of https://docs.aws.amazon.com/ec2/index.html so I can see the high-level structure before deciding which section to deep-dive into?"}],"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 showing raw token count, distilled token count, tokens saved, compression ratio percentage, ROI multiplier, and estimated LLM cost saved in USD. Also includes optional cache hit/miss status and billing metadata.","failureModes":["Invalid or unreachable URL returns an error status","URL behind authentication or paywalls may return incomplete or empty content","mode=budget without a query or max_tokens may produce suboptimal results","Very large pages may hit processing limits","Rate limiting or payment failure via x402 may block the request","Dynamically rendered JavaScript-heavy pages may not extract fully"],"whenToPreferThis":"Choose this endpoint when you need to feed web page content to an LLM but want to minimize token usage and cost. It is especially useful when a target URL is too large for a context window, when you need structured tables or metadata extracted cleanly, or when you want BM25-focused budget excerpts for a specific query. Prefer it over raw HTTP fetch when token efficiency and cost savings are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:23:27.099Z","isFirstParty":false,"canonicalSlug":"json-repair-agentdiet-dev-agentdiet-web-url-distiller-35aee71d"}