{"uid":"cap_rqODcm89T4ZoXMe0G1xy8","slug":"github-audit-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-2202838b","name":"ArXiv AI/CS Paper Search & Structured Digest","description":"Queries ArXiv for AI/CS/math papers and returns structured abstracts, authors, PDF links, and BibTeX. (Live x402 v2, IETF MPP & MCP endpoint at https://github-audit.agentdiet.dev/v1/paper-summary)","url":"https://github-audit.agentdiet.dev/v1/paper-summary?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","required":["query"],"properties":{"query":{"type":"string","minLength":1,"description":"ArXiv paper ID (e.g. 2308.11432) or research topic search query"}}},"responseSchema":{"type":"object"},"example":null,"exampleRequest":null,"tags":[],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_yQeWsv9DCz1opKa9vR-Gm","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"github-audit.agentdiet.dev","brandSlug":"github-audit-agentdiet-dev-mpp","brandBaseUrl":"https://github-audit.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Searches ArXiv for AI, CS, or math papers by topic or paper ID and returns structured abstracts, authors, PDF links, and BibTeX citations.","exampleAgentPrompt":"Can you look up papers on ArXiv about retrieval-augmented generation and give me the abstracts, authors, and BibTeX for the top results?","exampleUseCases":[{"title":"Cite a specific ArXiv paper","prompt":"I need the full citation info — abstract, authors, and BibTeX — for ArXiv paper 2305.10601. Can you pull that up for me?"},{"title":"Research survey on a topic","prompt":"Search ArXiv for recent papers on multimodal large language models and give me structured summaries with PDF links so I can review them."},{"title":"Verify paper details before publishing","prompt":"I'm writing a blog post and want to double-check the title, authors, and abstract for ArXiv paper 2308.11432 — can you fetch that for me?"}],"resultDescription":"Returns a structured response containing the paper title, abstract, list of authors, ArXiv PDF link, and formatted BibTeX citation entry for matched papers.","failureModes":["Invalid or non-existent ArXiv paper ID returns no results or an error","Query too broad may return irrelevant or low-quality matches","ArXiv API rate limits or downtime may cause upstream failures","Papers outside AI/CS/math scope may not be indexed or returned","Empty query string rejected due to minLength:1 validation"],"whenToPreferThis":"Choose this endpoint when you need structured, machine-readable metadata (abstract, authors, BibTeX, PDF link) for ArXiv papers, especially in AI/CS/math domains. Prefer it over raw ArXiv API calls when you need a pre-digested, token-efficient response suitable for agent pipelines. Ideal for citation generation, literature review automation, or agent workflows that need to reason about paper content.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:26:05.727Z","isFirstParty":false,"canonicalSlug":"github-audit-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-2202838b"}