{"uid":"cap_8Ix5az4w2QJ6RA8wqIgHX","slug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-66e1ebc3","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/research-digest)","url":"https://mesh.agentdiet.dev/v1/research-digest?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_VpIHaoxMCNxtyV0iUOBff","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, 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 retrieval-augmented generation and give me the abstracts, authors, PDF links, and BibTeX for the top results?","exampleUseCases":[{"title":"Citing a specific ArXiv paper","prompt":"I need the full abstract, author list, and BibTeX citation for ArXiv paper 2305.10601 — can you pull that up for me?"},{"title":"Literature review on a new AI topic","prompt":"Find me the most relevant ArXiv papers on chain-of-thought prompting and give me structured abstracts and PDF links so I can start a literature review."},{"title":"Staying current with ML research","prompt":"Search ArXiv for the latest papers on diffusion model fine-tuning and return the titles, authors, abstracts, and PDF links in a clean format."}],"resultDescription":"Returns structured records for matching ArXiv papers including title, authors, abstract, publication date, PDF download link, and BibTeX citation entry — token-optimized for agent consumption.","failureModes":["Invalid or non-existent ArXiv paper ID returns no results","Overly broad or ambiguous query may return low-relevance papers","ArXiv API rate limiting or downtime causes fetch failure","Query with no matching results returns an empty result set","Payment not completed (x402) results in 402 response blocking access"],"whenToPreferThis":"Choose this endpoint when you need structured, token-efficient ArXiv paper metadata — especially abstracts, BibTeX, and PDF links — for AI, CS, or math research queries. Ideal for agents building literature reviews, citation lists, or research digests without manually parsing ArXiv HTML. Prefer over raw ArXiv API access when you need clean, pre-structured output ready for downstream agent workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:23:16.049Z","isFirstParty":false,"canonicalSlug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-8ddbdd4e"}