{"uid":"cap_CDiao5yxuyPN2e0sdnqQe","slug":"preflight-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-f526c51f","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://preflight.agentdiet.dev/v1/arxiv)","url":"https://preflight.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_zM-yCxj08PbM-2MFZyflu","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"preflight.agentdiet.dev","brandSlug":"preflight-agentdiet-dev-mpp","brandBaseUrl":"https://preflight.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 find me the ArXiv paper on attention mechanisms — 'Attention Is All You Need' — and give me the abstract, authors, PDF link, and BibTeX so I can cite it?","exampleUseCases":[{"title":"Cite a paper by ArXiv ID","prompt":"I need the full citation details for ArXiv paper 2305.10601 — give me the title, authors, abstract, and BibTeX so I can add it to my references."},{"title":"Discover recent RAG research","prompt":"Search ArXiv for the latest papers on retrieval-augmented generation and give me a structured summary of the top results including abstracts and PDF links."},{"title":"Find alignment research for literature review","prompt":"I'm writing a literature review on AI safety — can you pull up recent ArXiv papers on large language model alignment and give me structured abstracts and author info for each?"}],"resultDescription":"Returns structured metadata for matching ArXiv papers including: paper title, list of authors, abstract text, ArXiv paper ID, direct PDF download link, and formatted BibTeX citation entry. Results are token-efficient and ready for downstream use in research workflows or citation managers.","failureModes":["No papers found for an overly narrow or misspelled query — returns empty results","Invalid ArXiv paper ID format returns an error or no match","Rate limiting or payment failure (402) if USDC micropayment not completed","Timeout if ArXiv upstream is slow or unavailable","Very broad queries may return truncated or low-relevance results"],"whenToPreferThis":"Use this endpoint when you need structured, citable academic paper metadata from ArXiv — especially for AI, CS, or math topics — and want abstracts, author lists, BibTeX, and PDF links in a single token-efficient call. Prefer this over raw ArXiv web scraping or the ArXiv API directly when you need pre-formatted, agent-ready output with micropayment access via x402.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:21:24.925Z","isFirstParty":false,"canonicalSlug":"preflight-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-f526c51f"}