{"data":{"_id":"69b2da6867df398baec12fcc","name":"Wasabi","slug":"wasabi","url":"https://wasabi.com","description":"","logo":"","category":"File Storage","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":3,"confidence":"scanner","evidence":"No OpenAPI spec or documented API response formats; homepage is 586KB suggesting verbose content, and no evidence of field selection, pagination, or compact response design.","na":false},"access":{"score":4,"confidence":"scanner","evidence":"SDKs exist for Node.js and Python, plus a CLI tool, but no REST API specification, no GraphQL, no MCP server, and no OpenAPI documentation means programmatic access is limited and difficult to integrate.","na":false},"auth":{"score":2,"confidence":"scanner","evidence":"No documented authentication mechanism visible in signals; SDK and CLI access methods typically require credentials but no API key, OAuth, or auth documentation is mentioned.","na":false},"speed":{"score":2,"confidence":"scanner","evidence":"Response time data is null, no rate limit information provided, no evidence of ETags or conditional request support, and no documentation of latency characteristics or concurrent request handling.","na":false},"discoverability":{"score":4,"confidence":"scanner","evidence":"Tool publishes llms.txt (41KB) showing some AI-readiness effort, has developer docs, and robots.txt is non-blocking, but no OpenAPI spec, no structured data on homepage, and unclear API endpoint patterns.","na":false},"reliability":{"score":3,"confidence":"scanner","evidence":"No evidence of API versioning, idempotency keys, consistent response schemas, or status page; reliability documentation is absent despite developer docs existing.","na":false},"safety":{"score":2,"confidence":"scanner","evidence":"No indication of sandbox mode, test environments, dry-run capabilities, or scoped access tokens; safety features are entirely undocumented.","na":false},"reactivity":{"score":1,"confidence":"scanner","evidence":"No evidence of webhooks, streaming, Server-Sent Events, or polling mechanisms; the tool appears to be synchronous-only without event-driven capabilities.","na":false}},"agentGrade":"F","agentScore":2.86,"accessMethods":{"restApi":true,"graphql":false,"cli":true,"sdk":["Node (wasabi-solana-ts)","Python (wasabi)"],"mcpServer":"none","openApiSpec":"","llmsTxt":true,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":32,"badgeEmbedCount":4,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.791Z","updatedAt":"2026-04-09T00:45:58.302Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:54:30.806Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":586019,"hasStructuredData":false,"hasDeveloperDocs":true,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":true,"path":"/llms.txt","length":41723},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":false,"hasSitemap":true}},"packages":{"npm":[{"name":"wasabi-solana-ts","description":"Typescript library for the Wasabi program","version":"1.2.15"},{"name":"wasabiD","description":"wasabi UI——PC端前端框架","version":"0.9.21"},{"name":"wasabi-client","description":"A browser and Node.js client for Wasabi A/B testing API","version":"1.0.5"},{"name":"wasabi-kit","description":"[![Version](https://img.shields.io/github/package-json/v/xmartinezpujol/wasabi-kit/master?label=version)](https://github.com/xmartinezpujol/wasabi-kit) [![Build Status](https://travis-ci.org/xmartinezpujol/wasabi-kit.svg?branch=master)](https://travis-ci.","version":"1.4.0"},{"name":"@cloudacademy/wasabi","description":"SVG icons packs for Cloud Academy frontend projects","version":"2.61.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"mcp-framework","description":"Framework for building Model Context Protocol (MCP) servers in Typescript","version":"0.2.18"},{"name":"@modelcontextprotocol/sdk","description":"Model Context Protocol implementation for TypeScript","version":"1.27.1"},{"name":"@mcp-use/cli","description":"The mcp-use CLI is a tool for building and deploying MCP servers with support for ChatGPT Apps, Code Mode, OAuth, Notifications, Sampling, Observability and more.","version":"2.18.3"}],"pypi":[{"name":"wasabi","version":"1.1.3","description":"A lightweight console printing and formatting toolkit"}],"cli":true,"sdks":["Node (wasabi-solana-ts)","Python (wasabi)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Complete absence of an OpenAPI specification and documented REST API makes programmatic integration extremely difficult and discovery nearly impossible for AI agents.","agentSummary":"Wasabi has published llms.txt and offers SDKs/CLI, showing minimal AI-readiness intent, but lacks the fundamental infrastructure (API spec, documented endpoints, auth patterns) needed for reliable agent integration. The tool would require significant reverse-engineering or manual documentation work before agents could autonomously interact with it."}}}