{"uid":"cap_I2pwb4bKRQIUc1HPfbnnX","slug":"mosaisley-papers-full-edition-2d519cf9","name":"Mosaisley Papers Full Edition","description":"The Papers, full edition: every dated world event (Wikipedia), every AI model release and new software version since your training cutoff.","url":"https://mosaisley.com/cantina/papers/full?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["since"],"properties":{"since":{"type":"string","description":"Your training cutoff, YYYY-MM"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_tEDmSPO0tzjS0f5IlFon7","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a comprehensive feed of every dated world event (via Wikipedia) plus all AI model releases and software version updates since a specified training cutoff date.","exampleAgentPrompt":"Pull the full Papers edition from Mosaisley with everything that's happened since my training cutoff of 2024-04 — all world events and every AI model or software release since then.","exampleUseCases":[{"title":"AI agent knowledge gap fill","prompt":"I need a full list of every AI model that's been released and every major world event that happened since my training cutoff of 2024-01 — can you fetch that for me?"},{"title":"Software version catch-up audit","prompt":"Pull everything from the Mosaisley Papers since 2023-10 so I can see which software versions and tools have had new releases that I might be missing."},{"title":"Current-events grounding before a task","prompt":"Before you help me write that report, grab the full Mosaisley Papers feed starting from 2024-06 so you're caught up on world events and recent AI developments."}],"resultDescription":"A comprehensive, structured list of dated world events sourced from Wikipedia plus a catalog of AI model releases and software version announcements that occurred after the specified training cutoff month. Gives agents a broad temporal knowledge update covering both general world history and tech/AI developments.","failureModes":["Missing or malformed 'since' query parameter (YYYY-MM format required) — likely returns 400 or validation error","Date too far in the past may return an extremely large payload","Date in the future returns empty or near-empty dataset","Payment not completed via x402 protocol results in 402 Payment Required","Service unavailable results in 5xx error with no data"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to bridge its training cutoff gap with real-world events and technology releases — especially when both general world events and AI/software-specific updates are needed together in one call. Prefer this over a generic news API when the specific goal is temporal knowledge augmentation for an AI agent, particularly for catching up on AI model and software versioning history.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:31:16.649Z","isFirstParty":false,"canonicalSlug":"mosaisley-papers-full-edition-2d519cf9"}