{"uid":"cap_fngr3XriHcBYoDmjxmWC6","slug":"agentdiet-dev-arxiv-ai-cs-math-paper-search-structured-digest-094309f7","name":"ArXiv AI/CS/Math 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://agentdiet.dev/v1/robotics-arxiv-feed)","url":"https://agentdiet.dev/v1/robotics-arxiv-feed?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_mhqMlZQjeqH10BmUjDVAE","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"agentdiet.dev","brandSlug":"agentdiet-dev-mpp","brandBaseUrl":"https://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 search ArXiv for recent papers on retrieval-augmented generation and give me the titles, abstracts, authors, PDF links, and BibTeX for the top results?","exampleUseCases":[{"title":"Literature review for a new research project","prompt":"I'm starting a project on vision-language models — can you find me recent ArXiv papers on that topic and give me their abstracts, authors, and BibTeX so I can start my literature review?"},{"title":"Fetch a specific preprint by ArXiv ID","prompt":"Can you pull up ArXiv paper 2305.11738 and give me the full abstract, author list, PDF link, and a BibTeX entry I can drop into my references?"},{"title":"Stay current on a fast-moving AI subfield","prompt":"What are the latest ArXiv papers on mixture-of-experts language models? Give me structured summaries with authors and PDF links so I can skim what's new."}],"resultDescription":"Returns a structured digest per paper including title, authors, abstract, ArXiv ID, PDF download link, and a ready-to-paste BibTeX citation entry. Multiple papers may be returned for topic queries.","failureModes":["Invalid or non-existent ArXiv paper ID returns an error or empty result","Very broad or ambiguous topic queries may return loosely related papers","ArXiv rate limits or downtime may cause fetch failures","Query string too short or malformed returns validation error","Papers outside AI/CS/math scope may not be well supported"],"whenToPreferThis":"Choose this endpoint when you need structured, machine-readable metadata (abstracts, BibTeX, PDF links, author lists) for ArXiv papers — especially when building literature reviews, citation databases, or research digests for AI/CS/math topics. Prefer it over raw ArXiv API calls when you need a token-efficient, pre-structured response ready for agent consumption. Use it when you have either a known paper ID or a natural language research topic query.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:21:34.706Z","isFirstParty":false,"canonicalSlug":"agentdiet-dev-arxiv-ai-cs-math-paper-search-structured-digest-094309f7"}