{"uid":"cap_S-rWgF1nmXE7u6X1LXWx4","slug":"agentdiet-paper-summary-distiller-a4cc5bd6","name":"AgentDiet Paper Summary Distiller","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/paper-summary?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_uhzw_mvLPEQP_FnQyzovR","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 and compresses an academic or web paper into a distilled, token-efficient summary using context window compression techniques.","exampleAgentPrompt":"Can you grab a compressed, token-efficient paper summary about transformer attention mechanisms — I want the distilled version so I don't blow my context window?","exampleUseCases":[{"title":"Research agent token budget management","prompt":"I'm building an agent that reads lots of papers — can you get me a distilled summary of the paper on retrieval-augmented generation so it fits in my context window without burning tokens?"},{"title":"Quick academic literature scan","prompt":"I need to quickly understand what the paper on chain-of-thought prompting is about — give me a compressed summary with the compression ratio so I can see how much space I'm saving."},{"title":"Automated paper digest pipeline","prompt":"For my weekly AI digest, can you pull a token-compressed summary for a query about 'mixture of experts' papers and show me the ROI proof on the compression?"}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled paper summary content, a 'status' field confirming success, and a 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%) achieved by the distillation, helping agents verify token savings.","failureModes":["Query parameter missing or empty — endpoint may return an error or empty data object","Paper or content not found for the given query — returns empty data with status ok but no meaningful content","Payment not settled in USDC on Base — x402 payment failure blocks access","Rate limiting or node unavailability — service node may be temporarily down","Malformed input schema — required 'type' and 'method' fields missing causes rejection"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to ingest academic or long-form paper content but must stay within a tight context window budget. It is especially valuable when token costs are a concern, as it achieves compression ratios up to 91%+ while settling payment at $0.01 USDC per call via x402 on Base — making it extremely cost-effective for high-volume research pipelines or agent fleets that process many papers.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:43:34.222Z","isFirstParty":false,"canonicalSlug":"agentdiet-paper-summary-distiller-a4cc5bd6"}