{"uid":"cap_WCNHD4RDYF5Y8LgqQpyis","slug":"mcp-compiler-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-fe618d42","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://mcp-compiler.agentdiet.dev/v1/cs-lg-digest)","url":"https://mcp-compiler.agentdiet.dev/v1/cs-lg-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_QTFbuHXem6A73aB8mEC7Z","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"mcp-compiler.agentdiet.dev","brandSlug":"mcp-compiler-agentdiet-dev-mpp","brandBaseUrl":"https://mcp-compiler.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 retrieval-augmented generation and give me structured abstracts, authors, PDF links, and BibTeX for the top results.","exampleUseCases":[{"title":"Literature review on LLM fine-tuning","prompt":"Find me ArXiv papers on instruction fine-tuning for large language models — I need structured abstracts, author lists, and BibTeX so I can add them to my literature review."},{"title":"Fetch specific paper by ArXiv ID","prompt":"Pull up ArXiv paper 2305.10601 and give me the full abstract, authors, PDF link, and BibTeX citation for it."},{"title":"Research scout for diffusion model advances","prompt":"Search ArXiv for the latest papers on diffusion models for image generation and return structured summaries with PDF links so I can skim the most relevant ones."}],"resultDescription":"Returns structured paper records including title, abstract, author list, publication date, ArXiv ID, PDF download link, and BibTeX citation entry — formatted in a token-efficient digest suitable for agent consumption.","failureModes":["Invalid or non-existent ArXiv paper ID returns no results or an error","Overly broad query returns too many low-relevance results","ArXiv API rate limiting or downtime causes request failure","Empty query string rejected due to minLength:1 constraint","Highly niche queries may return zero matching papers"],"whenToPreferThis":"Choose this endpoint when you need structured, token-efficient ArXiv paper metadata (abstracts, BibTeX, PDF links) from AI/CS/math domains. It is preferable to raw ArXiv API calls because it returns pre-structured, token-pruned output ready for agent pipelines. Best for literature reviews, citation gathering, and research scouting where you need machine-readable paper data without parsing raw XML.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:24:04.026Z","isFirstParty":false,"canonicalSlug":"mcp-compiler-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-dcc623d5"}