{"uid":"cap_Azn-OLGio09JvNJvblTiu","slug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-306f4b6d","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/llm-benchmark-papers)","url":"https://serp-extract.agentdiet.dev/v1/llm-benchmark-papers?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_MDUzLLDt6aXDgoigpiSF7","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":"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 LLM benchmark evaluation 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 the ArXiv ID 2308.11432 — can you pull up the abstract, authors, PDF link, and BibTeX for that paper?"},{"title":"Literature search on AI safety","prompt":"Search ArXiv for papers on constitutional AI and alignment, and give me structured summaries with authors and citation info for the most relevant ones."},{"title":"Citation gathering for a research report","prompt":"I'm writing a report on diffusion models — can you find ArXiv papers on score-based generative models and return the BibTeX entries and PDF links so I can cite them?"}],"resultDescription":"A structured response containing one or more ArXiv paper records, each with: paper title, authors, abstract text, ArXiv paper ID, direct PDF link, and formatted BibTeX citation entry, enabling immediate use in research workflows.","failureModes":["Query returns no results if the topic is too narrow or the paper ID is malformed","ArXiv rate limiting or downtime may cause timeouts or empty responses","Ambiguous topic queries may return tangentially related papers","BibTeX may be incomplete for very new preprints lacking full metadata","Non-AI/CS/math topics may return poor results as the index focuses on those domains"],"whenToPreferThis":"Choose this endpoint when you need structured, citation-ready metadata (abstracts, BibTeX, PDF links) from ArXiv specifically for AI, CS, or math research — especially when you want token-efficient digests suitable for LLM context windows. Prefer it over raw ArXiv API access when you need pre-structured output without parsing XML, and over general web search when you need verifiable academic paper metadata with proper citation formatting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T06:37:31.085Z","isFirstParty":false,"canonicalSlug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-57754fee"}