{"uid":"cap_yeCZJtcVQLRulOOU1uVGd","slug":"whale-momentum-agentdiet-dev-arxiv-ai-cs-math-paper-search-structured-623817d6","name":"ArXiv AI/CS/Math 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://whale-momentum.agentdiet.dev/v1/llm-benchmark-papers)","url":"https://whale-momentum.agentdiet.dev/v1/llm-benchmark-papers?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_1jwMwGc7bZH6azxrioX1R","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"whale-momentum.agentdiet.dev","brandSlug":"whale-momentum-agentdiet-dev-mpp","brandBaseUrl":"https://whale-momentum.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":"Search ArXiv for recent papers on chain-of-thought prompting and give me the abstracts, authors, PDF links, and BibTeX for the top results.","exampleUseCases":[{"title":"Literature review on a research topic","prompt":"Find me ArXiv papers on retrieval-augmented generation — I need the abstracts, authors, and BibTeX so I can build out my related work section."},{"title":"Fetch metadata for a specific preprint","prompt":"Pull up ArXiv paper 2303.08774 and give me the full abstract, author list, PDF link, and BibTeX citation."},{"title":"Track LLM benchmark papers","prompt":"Search ArXiv for papers about LLM evaluation benchmarks and return structured summaries with PDF links so I can review the latest methods."}],"resultDescription":"Returns structured records for matching ArXiv papers including title, abstract, author list, PDF download link, and BibTeX citation entry, formatted for easy agent consumption.","failureModes":["Invalid or non-existent ArXiv paper ID returns empty or error response","Overly broad query returns irrelevant results outside AI/CS/math scope","Payment required (HTTP 402) if x402 micropayment header is not provided","Rate limiting or timeout if ArXiv upstream is slow or unavailable","Query with no matching papers returns empty result set"],"whenToPreferThis":"Choose this endpoint when you need structured, citation-ready metadata (abstracts, BibTeX, PDF links) for ArXiv AI/CS/math papers in a single call, especially in agent workflows that require programmatic access to academic literature without scraping ArXiv directly. Prefer this over raw ArXiv API wrappers when you need pre-formatted, token-efficient digests compatible with MCP/x402 payment flows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:19:40.814Z","isFirstParty":false,"canonicalSlug":"whale-momentum-agentdiet-dev-arxiv-ai-cs-math-paper-search-structured-623817d6"}