{"uid":"cap_WIKBKO41lPYAVFG8QTce0","slug":"cve-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-3953a15a","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://cve-intel.agentdiet.dev/v1/arxiv)","url":"https://cve-intel.agentdiet.dev/v1/arxiv?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_7rCgCUT3_LLPObeNT_CRu","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"cve-intel.agentdiet.dev","brandSlug":"cve-intel-agentdiet-dev-mpp","brandBaseUrl":"https://cve-intel.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Searches ArXiv for AI, CS, and 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 chain-of-thought prompting in large language models and give me the abstracts, authors, and BibTeX citations?","exampleUseCases":[{"title":"Fetch citation for specific paper","prompt":"I have an ArXiv paper ID — 2308.11432 — can you pull up the abstract, authors, and BibTeX so I can cite it in my report?"},{"title":"Literature review on ML topic","prompt":"Search ArXiv for papers on diffusion models for image generation and give me a structured digest of the top results including abstracts and PDF links."},{"title":"Track authors on research topic","prompt":"Find me recent ArXiv papers on graph neural networks and list the authors and links to the PDFs so I can follow up with their work."}],"resultDescription":"Returns structured records for matching ArXiv papers, including title, abstract, author list, publication date, PDF download link, and BibTeX citation entry — ready for use in literature reviews, research tools, or citation managers.","failureModes":["Invalid or non-existent ArXiv paper ID returns no results or an error","Overly broad or ambiguous query may return loosely related papers","ArXiv API rate limits or downtime may cause fetch failures","Query too short or malformed may return an empty result set","Papers outside AI/CS/math scope may not be indexed or returned"],"whenToPreferThis":"Choose this endpoint when you need structured academic paper metadata from ArXiv — including BibTeX and PDF links — especially for AI, CS, and math domains. Prefer it over a raw web search when you need machine-readable citation data or want to avoid parsing unstructured HTML. It is ideal for agent pipelines doing literature reviews, citation generation, or research summarization.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:20:26.729Z","isFirstParty":false,"canonicalSlug":"cve-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-3953a15a"}