{"uid":"cap_l2545dsA3J5Lem6rkJnCE","slug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-21f5997f","name":"ArXiv AI/CS Paper Search & Structured Token-Diet 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://mesh.agentdiet.dev/v1/arxiv)","url":"https://mesh.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_HvZnRAhj672PvZQzdJ_p9","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"mesh.agentdiet.dev","brandSlug":"mesh-agentdiet-dev-mpp","brandBaseUrl":"https://mesh.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 look up recent ArXiv papers on retrieval-augmented generation and give me the titles, abstracts, authors, PDF links, and BibTeX for the top results?","exampleUseCases":[{"title":"Citing a specific paper in a report","prompt":"I need the full citation info for ArXiv paper 2305.10403 — give me the title, authors, abstract, and BibTeX so I can add it to my literature review."},{"title":"Literature survey on a new AI topic","prompt":"Search ArXiv for the most relevant papers on mixture-of-experts language models and summarize the key abstracts and authors for each one you find."},{"title":"Tracking research on a niche CS subject","prompt":"Find me ArXiv papers about formally verified neural networks — I want the titles, abstracts, and PDF links so I can read through the most important ones."}],"resultDescription":"Returns a structured digest including paper titles, author lists, abstracts, ArXiv IDs, PDF download links, and BibTeX citation entries — token-compressed for agent consumption.","failureModes":["Invalid or non-existent ArXiv paper ID returns an error or empty result","Overly broad or ambiguous search query may return loosely relevant papers","ArXiv API rate limiting or downtime may cause upstream failures","Query string too short or empty triggers a validation error","Payment failure (HTTP 402) if USDC balance is insufficient"],"whenToPreferThis":"Prefer this endpoint when an AI agent needs structured, token-efficient ArXiv paper metadata — especially abstracts, BibTeX, and PDF links — without parsing raw HTML. Ideal for literature review automation, citation generation, or research grounding tasks where ArXiv is the primary source. Use over raw ArXiv API access when BibTeX formatting and token compression matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:22:02.249Z","isFirstParty":false,"canonicalSlug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-8ddbdd4e"}