{"uid":"cap_pk9-jdRKVdElQIiwdFV7G","slug":"company-enrich-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-c7a8291d","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://company-enrich.agentdiet.dev/v1/arxiv-search)","url":"https://company-enrich.agentdiet.dev/v1/arxiv-search?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_hk8FvjxNF43c3ZMaNzYm4","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"company-enrich.agentdiet.dev","brandSlug":"company-enrich-agentdiet-dev-mpp","brandBaseUrl":"https://company-enrich.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Searches ArXiv for AI, CS, and math papers by topic or paper ID, returning structured abstracts, authors, PDF links, and BibTeX citations.","exampleAgentPrompt":"Can you search ArXiv for recent papers on retrieval-augmented generation and give me the abstracts, authors, and BibTeX citations?","exampleUseCases":[{"title":"Literature review for ML research","prompt":"Search ArXiv for papers on diffusion models for image generation from the last year and give me the titles, abstracts, authors, and BibTeX so I can build my literature review."},{"title":"Fetch specific paper by ArXiv ID","prompt":"Look up ArXiv paper 2305.11738 and give me the full abstract, author list, PDF link, and BibTeX citation."},{"title":"Agent citing academic sources","prompt":"I need to cite the most relevant ArXiv papers on chain-of-thought prompting — can you find them and return structured BibTeX entries I can drop into my LaTeX document?"}],"resultDescription":"Returns a structured response containing paper title, abstract, author list, ArXiv paper ID, PDF download link, and BibTeX citation for each matching paper found via the ArXiv search API.","failureModes":["No papers found for an overly specific or obscure query — returns empty results","Invalid ArXiv paper ID format returns an error or empty match","Rate limiting or ArXiv API downtime causes timeouts","Very broad queries may return too many loosely relevant papers","Non-AI/CS/math queries may return sparse or no results depending on ArXiv category filtering"],"whenToPreferThis":"Choose this endpoint when you need structured, machine-readable academic paper metadata (abstract, BibTeX, PDF link, authors) from ArXiv specifically for AI, CS, or math topics. Prefer it over generic web search when you need citation-ready BibTeX output or when retrieving a specific paper by its ArXiv ID. It is ideal for agents building literature reviews, citation managers, or research summarization pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:22:55.414Z","isFirstParty":false,"canonicalSlug":"company-enrich-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-c14e4310"}