{"uid":"cap_bxBBOUQz9C413iaoBk2XS","slug":"token-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-2f7ba010","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://token-intel.agentdiet.dev/v1/llm-benchmark-papers)","url":"https://token-intel.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_d5ZGb629U_qgpkS4JfiO1","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"token-intel.agentdiet.dev","brandSlug":"token-intel-agentdiet-dev-mpp","brandBaseUrl":"https://token-intel.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, PDF links, and BibTeX for the top results?","exampleUseCases":[{"title":"Retrieve paper details by ArXiv ID","prompt":"I have this ArXiv paper ID — 2308.11432 — can you pull up the full abstract, authors, and BibTeX so I can cite it in my literature review?"},{"title":"Discover recent LLM benchmark papers","prompt":"Search ArXiv for the latest papers on LLM evaluation benchmarks and give me a structured digest with abstracts and PDF links for each one."},{"title":"Find papers for a research survey","prompt":"I'm writing a survey on retrieval-augmented generation — can you search ArXiv for the most relevant papers on that topic and return the titles, authors, abstracts, and BibTeX entries?"}],"resultDescription":"Returns a structured response containing paper titles, author lists, abstracts, PDF download links, and BibTeX citation strings for papers matching the query or ArXiv ID provided.","failureModes":["Query too vague returns irrelevant or no papers","Invalid or non-existent ArXiv paper ID returns an error or empty result","ArXiv API rate limiting or downtime causes request failure","Very new papers may not yet be indexed and return no results","Payment failure (HTTP 402) if USDC micropayment is not completed"],"whenToPreferThis":"Choose this endpoint when you need structured, citation-ready metadata (including BibTeX) for AI, CS, or math papers from ArXiv, especially when you want to look up a specific paper by ID or search a research topic and need output formatted for downstream use in literature reviews or agent pipelines. Prefer this over raw ArXiv scraping when you need clean, parsed abstracts and ready-to-use citations in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:21:19.751Z","isFirstParty":false,"canonicalSlug":"token-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-257c352e"}