{"uid":"cap_1vUR-2fGmmcZrHyx7GsdA","slug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-920f99ba","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://serp-extract.agentdiet.dev/v1/research-digest)","url":"https://serp-extract.agentdiet.dev/v1/research-digest?utm_source=zero.xyz","method":"POST","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_bFr3t0T11qSssB4L8zL-C","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"serp-extract.agentdiet.dev","brandSlug":"serp-extract-agentdiet-dev-mpp","brandBaseUrl":"https://serp-extract.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Queries ArXiv by paper ID or topic and returns structured abstracts, authors, PDF links, and BibTeX citations in a token-efficient format.","exampleAgentPrompt":"Search ArXiv for recent papers on chain-of-thought reasoning in large language models and give me the abstracts, authors, and BibTeX for the top results.","exampleUseCases":[{"title":"Literature review on a research topic","prompt":"Can you search ArXiv for papers about diffusion models for image generation and pull together the abstracts, author lists, and BibTeX citations so I can start a literature review?"},{"title":"Fetch details for a known paper ID","prompt":"I have this ArXiv paper ID — 2303.08774 — can you grab the full abstract, authors, PDF link, and BibTeX entry for it?"},{"title":"Track AI safety research for weekly digest","prompt":"Search ArXiv for the latest papers on AI alignment and give me a structured summary with abstracts and PDF links I can use for my weekly research digest."}],"resultDescription":"Returns a structured object containing matched ArXiv papers with fields for title, abstract, authors, PDF download link, and BibTeX citation string, formatted in a compact token-efficient layout suitable for agent consumption.","failureModes":["Invalid or non-existent ArXiv paper ID returns no results or an error","Query too broad returns irrelevant or low-quality matches","Payment not processed (402) blocks the request","Rate limiting or upstream ArXiv API downtime causes failure","Malformed query string may return empty result set"],"whenToPreferThis":"Choose this endpoint when you need structured, token-efficient access to ArXiv papers including BibTeX and PDF links in a single call, especially within an agent pipeline that requires citation-ready academic metadata. Prefer over raw ArXiv API scraping when you need clean, pre-structured output without parsing overhead.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:38:55.734Z","isFirstParty":false,"canonicalSlug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-57754fee"}