{"uid":"cap_ZE0EPNBu-oMSzy_KosyDl","slug":"sec-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-6111b003","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://sec-intel.agentdiet.dev/v1/research-digest)","url":"https://sec-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_W-WOMJKxt_KM5l2XgM8wn","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"sec-intel.agentdiet.dev","brandSlug":"sec-intel-agentdiet-dev-mpp","brandBaseUrl":"https://sec-intel.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 look up the ArXiv paper 2308.11432 and give me the abstract, authors, PDF link, and BibTeX so I can cite it?","exampleUseCases":[{"title":"Literature review on LLM alignment","prompt":"Search ArXiv for recent papers on large language model alignment and give me structured abstracts, authors, and BibTeX for the top results."},{"title":"Cite a specific preprint","prompt":"I need the full abstract, author list, PDF link, and BibTeX entry for ArXiv paper 2310.06825 — can you pull that up for me?"},{"title":"Discover diffusion model papers","prompt":"Find me ArXiv papers on diffusion models for image generation published recently, and return structured digests with abstracts and citation info for each."}],"resultDescription":"Returns a structured digest containing paper titles, author lists, abstracts, PDF download links, and BibTeX citation strings for papers matching the query or the specified ArXiv paper ID. Output is token-pruned and agent-ready.","failureModes":["Invalid or non-existent ArXiv paper ID returns empty result or error","Overly broad query may return too many loosely related papers","ArXiv API rate limiting or downtime may cause timeouts","Payment failure (HTTP 402) if USDC micropayment is not completed","Empty or whitespace-only query string is rejected due to minLength:1 constraint"],"whenToPreferThis":"Choose this endpoint when an agent needs structured, citation-ready metadata from ArXiv — including abstracts, BibTeX, and PDF links — in a token-efficient format. Prefer it over raw ArXiv API calls when you need clean, parsed output ready for downstream use. Especially useful in research automation, literature review pipelines, and agent workflows that need to cite or summarize academic papers without post-processing overhead.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:23:16.733Z","isFirstParty":false,"canonicalSlug":"sec-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-3b572d4e"}