{"uid":"cap_MEv9Q8Bs2j48Gshx9CamR","slug":"cve-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-d1314dea","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/llm-benchmark-papers)","url":"https://cve-intel.agentdiet.dev/v1/llm-benchmark-papers?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_TZ3OjBb4ouQI3DWUnEf-E","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, or math papers by topic or paper ID and returns structured abstracts, authors, PDF links, and BibTeX citations","exampleAgentPrompt":"Can you find me the latest ArXiv papers on LLM benchmarking and give me their abstracts, authors, and BibTeX citations?","exampleUseCases":[{"title":"Retrieve paper by ArXiv ID","prompt":"Pull up the abstract, authors, PDF link, and BibTeX for ArXiv paper 2308.11432 — I need to cite it in my literature review."},{"title":"Topic search for literature review","prompt":"Search ArXiv for recent papers on retrieval-augmented generation and give me structured summaries with author lists and PDF links so I can start my lit review."},{"title":"Find benchmark papers for model evaluation","prompt":"I'm evaluating a new language model — can you find me ArXiv papers about LLM evaluation benchmarks and return their abstracts and citation info?"}],"resultDescription":"Returns structured data per paper including: title, abstract, author list, ArXiv paper ID, PDF download link, publication date, and BibTeX citation string, formatted for easy consumption by agents or researchers.","failureModes":["Invalid or non-existent ArXiv paper ID returns no results or an error","Overly broad query returns irrelevant or too many results","ArXiv rate limiting or unavailability causes timeout","Query too short or malformed returns empty result set","Papers outside AI/CS/math scope may not be well-indexed"],"whenToPreferThis":"Choose this endpoint when you need structured, citation-ready metadata (including BibTeX) for ArXiv papers in AI, CS, or mathematics — either by direct paper ID lookup or keyword search. Prefer it over raw ArXiv scraping when you need a clean, token-efficient digest with PDF links and structured abstracts returned in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T12:48:10.320Z","isFirstParty":false,"canonicalSlug":"cve-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-3953a15a"}