{"uid":"cap_8YtqT-lo_xUI69FOlYB-L","slug":"token-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-257c352e","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/paper-summary)","url":"https://token-intel.agentdiet.dev/v1/paper-summary?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_l7aIBJBuMN2rtIeZDufLl","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, or 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":"Literature review on a research topic","prompt":"Search ArXiv for papers on mixture-of-experts language models and give me the abstracts, authors, and BibTeX so I can build a literature review."},{"title":"Fetch a specific preprint by ID","prompt":"Pull up ArXiv paper 2305.10601 and give me the structured abstract, authors, and a PDF link so I can read it."},{"title":"Citation export for a paper","prompt":"I need the BibTeX citation for the Attention Is All You Need transformer paper — can you look it up on ArXiv and return the full structured metadata?"}],"resultDescription":"Returns a structured object containing the paper title, abstract text, list of authors, PDF download link, and BibTeX citation entry for matching ArXiv papers. Results are scoped to AI, CS, and math preprints indexed on ArXiv.","failureModes":["Invalid or non-existent ArXiv paper ID returns an error or empty result","Overly broad or ambiguous query may return irrelevant papers","ArXiv API rate limits or downtime may cause timeouts","Query matching no papers returns an empty result set","Payment failure via x402 prevents access to the endpoint"],"whenToPreferThis":"Choose this endpoint when an agent needs to retrieve structured academic paper metadata — including BibTeX, abstracts, and PDF links — from ArXiv for AI, CS, or math research. It is preferable over raw ArXiv API scraping because it returns pre-structured, token-efficient output with citation formatting included. Best suited for literature review automation, citation gathering, or academic research assistant workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:19:45.851Z","isFirstParty":false,"canonicalSlug":"token-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-257c352e"}