{"uid":"cap_AbzlD4EsQfyvZbbuZtO2M","slug":"agentdiet-arxiv-digest-compressed-academic-paper-summarizer-764835e0","name":"AgentDiet ArXiv Digest — Compressed Academic Paper Summarizer","description":"Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.","url":"https://rag-diet.agentdiet.dev/v1/arxiv-digest?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_XKlfwihNXKxOjnT0jcAmT","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 distills ArXiv academic papers into compressed, token-efficient digests using ~91% context compression","exampleAgentPrompt":"Search ArXiv for recent papers on retrieval-augmented generation and give me a compressed digest — I want to save context window space so keep the compression tight.","exampleUseCases":[{"title":"Stay current on ML research trends","prompt":"Pull a compressed digest of the latest ArXiv papers on diffusion models — I need the key findings without burning through my context window."},{"title":"Research assistant for academic writing","prompt":"Search ArXiv for papers about chain-of-thought prompting and distill them down to the most important points so I can use them as references without overwhelming my context."},{"title":"Agent pipeline literature gathering","prompt":"Find ArXiv papers on multi-agent systems and give me a token-efficient summary — my pipeline has a tight context budget and I need the signal without the noise."}],"resultDescription":"Returns a JSON object with a 'data' field containing the compressed ArXiv digest content, a 'status' field indicating success, and a 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%), confirming how much token reduction was achieved.","failureModes":["Empty or overly broad query returns no matching papers","Query too specific returns sparse results with low compression value","Payment failure via x402/USDC on Base blocks request","Upstream ArXiv API unavailability causes empty data response","Malformed query parameter causes schema validation error"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to retrieve and process ArXiv academic content but must stay within tight context window limits. It is ideal for research pipelines, RAG systems, or any agent that needs to ingest academic literature at scale without token cost blowout. The ~91% compression ratio makes it far more efficient than fetching raw ArXiv abstracts or full papers directly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:43:46.759Z","isFirstParty":false,"canonicalSlug":"agentdiet-arxiv-digest-compressed-academic-paper-summarizer-764835e0"}