{"uid":"cap_JZVVdL4STfDP2f3xCUFWs","slug":"agentdiet-arxiv-digest-distilled-research-summaries-549b6c85","name":"AgentDiet ArXiv Digest – Distilled Research Summaries","description":"15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).","url":"https://domain-osint-72343955726.us-central1.run.app/v1/arxiv-digest?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"type":"object","required":["query"],"properties":{"query":{"type":"string","minLength":1,"description":"ArXiv paper ID (e.g. 2308.11432) or research topic search query"}},"additionalProperties":false},"output":{"type":"object","required":["status","roi_proof","data"],"properties":{"data":{"type":"object"},"status":{"type":"string"},"roi_proof":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":{"mode":"markdown","title":"Example Documentation","content":"# Example Documentation\nClean agent-ready markdown..."},"status":"ok","roi_proof":{"raw_tokens":14200,"tokens_saved":13520,"roi_multiplier":67.6,"distilled_tokens":680,"compression_ratio_pct":95.2}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_fotLo5bGSOEmo_nxOJiF2","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches and distills ArXiv academic papers into compressed, agent-ready markdown summaries with token-efficiency metrics","exampleAgentPrompt":"Can you fetch me a distilled, agent-ready markdown digest of the latest ArXiv papers on transformer architectures — I want the compressed version with token savings stats so I'm not blowing my context window?","exampleUseCases":[{"title":"Compressed AI paper briefing","prompt":"Give me a distilled markdown summary of recent ArXiv papers on diffusion models — I need it token-efficient so my agent pipeline can process it without hitting context limits."},{"title":"Daily research digest for agent","prompt":"Pull the ArXiv digest on reinforcement learning from human feedback and compress it into clean markdown so I can feed it into my daily research briefing agent."},{"title":"Token-efficient literature review","prompt":"I'm building a literature review on large language model alignment — can you grab the ArXiv digest and distill it down to the key points in markdown, and show me how many tokens you saved?"}],"resultDescription":"Returns a JSON object containing: distilled markdown content of the ArXiv paper(s) with a title field, status indicator, and an roi_proof block showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct (e.g. 95.2%), and roi_multiplier (e.g. 67.6x). The agent receives clean, compressed academic content ready for downstream LLM consumption.","failureModes":["ArXiv source unavailable or rate-limited — returns error status","Invalid or unresolvable paper query — returns empty or error response","Payment failure via x402/USDC — HTTP 402 returned before content is served","Distillation produces low-quality output if source paper is malformed or non-standard","Network timeout on Google Cloud Run cold start"],"whenToPreferThis":"Choose this endpoint when an agent needs to consume ArXiv academic research with minimal token overhead — especially in pipelines where context window cost matters. Preferred over raw ArXiv API access when you need pre-distilled, markdown-formatted summaries with built-in compression metrics. Best for agents doing literature review, research monitoring, or knowledge retrieval from academic sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T18:45:18.964Z","isFirstParty":false,"canonicalSlug":"agentdiet-arxiv-digest-distilled-research-summaries-549b6c85"}