{"uid":"cap_fAMvchXlLTscWDpOL8McY","slug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-731eed1c","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/llm-benchmark-papers)","url":"https://mesh.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_F2gPPKhHJab5yPDIlWAjS","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, returning structured abstracts, authors, PDF links, and BibTeX citations.","exampleAgentPrompt":"Can you search ArXiv for recent papers on chain-of-thought prompting and give me the abstracts, authors, and BibTeX citations?","exampleUseCases":[{"title":"Literature review for ML research","prompt":"Search ArXiv for papers about retrieval-augmented generation and give me the structured abstracts and BibTeX so I can add them to my literature review."},{"title":"Fetch specific paper by ArXiv ID","prompt":"Pull up ArXiv paper 2308.11432 for me — I need the full abstract, author list, PDF link, and BibTeX citation."},{"title":"Staying current on AI benchmarks","prompt":"Find me the latest ArXiv papers on LLM benchmark evaluation and leaderboards — I want a digest with abstracts and PDF links I can skim quickly."}],"resultDescription":"Returns a structured digest for each matching paper including: paper title, authors, publication date, abstract text, ArXiv paper ID, PDF download link, and formatted BibTeX citation — all token-optimized for agent consumption.","failureModes":["No papers found for the given query topic — returns empty result set","Invalid ArXiv paper ID format — returns error or no match","ArXiv API rate limiting or downtime — upstream timeout or error response","Query too vague — returns loosely related papers","Payment failure via x402 — endpoint returns 402 if micropayment not processed"],"whenToPreferThis":"Choose this endpoint when an agent needs to search academic literature specifically in AI, CS, or math domains and requires structured, token-efficient output including BibTeX for citation workflows. Prefer over raw ArXiv API when you need pre-formatted, agent-ready data with abstracts and citations in a single call. Ideal for research assistants, literature review automation, and citation management pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:21:12.536Z","isFirstParty":false,"canonicalSlug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-8ddbdd4e"}