{"uid":"cap_nIUP5TEgRuUfxSKnTIE46","slug":"agentdiet-grounded-citations-3548698d","name":"AgentDiet Grounded Citations","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/grounded-citations?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":{"query":{"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_McEcTDUaIIvzTz1Ys1Qs-","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":"Returns grounded, citation-backed query results with context compression, reducing token usage by up to 91% compared to raw context","exampleAgentPrompt":"Search for grounded citations on 'reinforcement learning from human feedback' and compress the results — I want the sourced answer with proof of how much token savings I got.","exampleUseCases":[{"title":"Token budget enforcement for long research","prompt":"I need grounded citations about climate change mitigation strategies, but my context window is almost full — can you fetch that and compress it down as far as possible while keeping the sources intact?"},{"title":"Fact-checked answer for agent pipeline","prompt":"Pull grounded, cited information about the latest Federal Reserve interest rate decisions and give me a compressed summary I can pass to the next step in my workflow without blowing up my token count."},{"title":"Cost-efficient citation lookup for chatbot","prompt":"My chatbot needs to answer questions about CRISPR gene editing with real citations — can you fetch grounded references on that topic and show me the compression ratio so I know how many tokens I saved?"}],"resultDescription":"Returns a JSON object with a 'data' field containing the grounded citation results, a 'status' field indicating success ('ok'), and a 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%), confirming how much the context was reduced relative to raw input.","failureModes":["Missing or empty 'query' param returns empty or default data with status 'ok' but no useful citations","Invalid 'type' value (not 'http') causes schema validation rejection","Payment not settled in USDC on Base results in 402 Payment Required response","Malformed input object with missing required 'method' field causes 400 error","Query returns no grounded matches, yielding empty data object with 0% compression proof"],"whenToPreferThis":"Choose this endpoint when an AI agent needs citation-backed answers with verifiable source grounding AND must operate under tight token budgets. It is especially valuable in multi-step agent pipelines where passing raw retrieved context downstream would exceed context window limits. The built-in compression ratio proof (roi_proof) makes it auditable. Prefer it over generic web search endpoints when you need both grounding and token efficiency in a single $0.01 call settled on Base.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:10.744Z","isFirstParty":false,"canonicalSlug":"agentdiet-grounded-citations-3548698d"}