{"uid":"cap_R40F9rFZsJ6QJG75O9dY7","slug":"token-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-62fb8aad","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/research-digest)","url":"https://token-intel.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_s9_dCUQPFp4HItVFPjZEv","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, and BibTeX citations for the top results?","exampleUseCases":[{"title":"Cite a specific ArXiv paper","prompt":"I need the full BibTeX citation and abstract for ArXiv paper 2305.10601 — can you pull that up for me?"},{"title":"Literature survey on ML topic","prompt":"Search ArXiv for the most relevant papers on instruction-tuning for large language models and give me a structured summary with authors and PDF links for each."},{"title":"Fact-check a paper's authorship","prompt":"Who are the authors of the ArXiv paper on chain-of-thought prompting? Can you find the abstract and confirm the publication details?"}],"resultDescription":"Returns a structured digest containing paper title, authors, abstract, PDF download link, and BibTeX citation entry for each matching ArXiv paper. Multiple papers may be returned for topic queries; a single paper is returned when querying by exact ArXiv ID.","failureModes":["Invalid or non-existent ArXiv paper ID returns an error or empty result","Overly broad topic queries may return loosely related papers","ArXiv rate limits or downtime may cause fetch failures","Payment failure via x402 may block access before results are returned","Query too short or ambiguous may return poor matches"],"whenToPreferThis":"Choose this endpoint when you need structured, citation-ready metadata (abstract, BibTeX, PDF link, authors) from ArXiv for AI, CS, or math papers — especially when you need machine-readable output for research workflows or literature reviews, and when you want to pay per-call without an API key or subscription. Prefer this over raw ArXiv API scraping when you need pre-parsed, structured output delivered in a single request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:22:44.108Z","isFirstParty":false,"canonicalSlug":"token-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-257c352e"}