{"uid":"cap_3-jtb-gB1Vu4c-why7l0V","slug":"agentdiet-llms-txt-compiler-05eac906","name":"AgentDiet LLMs.txt Compiler","description":"Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.","url":"https://status.agentdiet.dev/v1/llms-txt-compiler?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","POST"],"type":"string"},"queryParams":{"type":"object","properties":{"url":{"type":"string"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":{},"status":"ok","roi_proof":{"compression_ratio_pct":91.4}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_4Q6uShe-eZ_PvwudC2RVb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches a URL and compiles/distills its content into a compressed llms.txt-format context window artifact, achieving up to 91% compression ratio.","exampleAgentPrompt":"Can you fetch https://example.com and distill it into a compressed llms.txt context — I want to cut down the tokens before feeding it into my pipeline?","exampleUseCases":[{"title":"Token budget preservation for long docs","prompt":"Grab https://docs.anthropic.com and compress it into an llms.txt summary so I can fit it into my context window without blowing my token budget."},{"title":"Agent pipeline web content ingestion","prompt":"Before passing this page to the next step in my workflow, compress https://openai.com/research/gpt-4 down using AgentDiet's llms.txt compiler so I'm not wasting tokens on boilerplate."},{"title":"Distilling competitor site for briefing","prompt":"Fetch https://stripe.com/docs and compile a distilled llms.txt version of it — I want the key content with as much compression as possible for my AI research assistant."}],"resultDescription":"Returns a JSON object with a 'data' field containing the compiled/compressed content, a 'status' field confirming success, and a 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%) achieved by the distillation.","failureModes":["Invalid or unreachable URL returns error status","Malformed input schema (missing required 'type' or 'method' fields) causes rejection","Payment failure over x402/L402 prevents execution","Timeout if the target URL is slow to respond","URL returns non-HTML/non-text content that cannot be distilled"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to fetch and ingest web content but is constrained by context window token limits. It is especially valuable in agentic pipelines where multiple documents or pages must be processed and token costs must be minimized. Prefer it over raw web scraping when the goal is LLM-ready, compressed context rather than raw HTML.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:42:14.761Z","isFirstParty":false,"canonicalSlug":"agentdiet-llms-txt-compiler-05eac906"}