{"data":{"_id":"69b2da6867df398baec12ea0","name":"Anthropic","slug":"anthropic","url":"https://anthropic.com","description":"","logo":"","category":"AI & ML","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":8,"confidence":"scanner","evidence":"Anthropic's API supports streaming, batch processing, and the Messages API uses compact JSON structures with explicit token counting, though pagination details are not explicitly documented in the signals.","na":false},"access":{"score":9,"confidence":"scanner","evidence":"Excellent programmatic access with official SDKs in Node.js and Python, multiple third-party integrations (LangChain, AI SDK, Vercel), MCP bundle tools available, and comprehensive API coverage, though no MCP server endpoint was detected.","na":false},"auth":{"score":9,"confidence":"scanner","evidence":"API key-based authentication enables autonomous agent access without human-in-the-loop, with no evidence of OAuth-only restrictions or scoping limitations that would impede agent operations.","na":false},"speed":{"score":7,"confidence":"scanner","evidence":"Streaming API support and batch processing capabilities are available, though response time metrics are unavailable and specific rate limit documentation isn't captured in the signals.","na":false},"discoverability":{"score":7,"confidence":"scanner","evidence":"Developer docs are present and well-maintained with official SDKs, but OpenAPI spec is not published and well-known discovery files (llms.txt, agents.json) are absent, limiting automated discovery.","na":false},"reliability":{"score":8,"confidence":"scanner","evidence":"As a mature AI API provider, Anthropic likely implements API versioning and consistent schemas across the Messages API, though formal idempotency key support and explicit reliability guarantees aren't documented in the signals.","na":false},"safety":{"score":7,"confidence":"scanner","evidence":"The API supports controlled model behavior through system prompts and temperature controls, and sandbox runtime tools are available, but explicit dry-run modes, scoped API key permissions, and undo capabilities are not evident from the signals.","na":false},"reactivity":{"score":8,"confidence":"scanner","evidence":"Streaming responses are natively supported for real-time agent interactions, enabling efficient polling and incremental output, though webhook support is not documented in the signals.","na":false}},"agentGrade":"A","agentScore":8.02,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@anthropic-ai/sdk)","Python (anthropic)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":58,"badgeEmbedCount":11,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.699Z","updatedAt":"2026-04-09T01:04:26.930Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:35:17.138Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":247829,"hasStructuredData":false,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":false,"hasSitemap":true}},"packages":{"npm":[{"name":"@anthropic-ai/sdk","description":"The official TypeScript library for the Anthropic API","version":"0.78.0"},{"name":"@traceloop/instrumentation-anthropic","description":"Anthropic Instrumentaion","version":"0.22.6"},{"name":"@langchain/anthropic","description":"Anthropic integrations for LangChain.js","version":"1.3.23"},{"name":"@ai-sdk/anthropic","description":"The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Anthropic Messages API](https://docs.anthropic.com/claude/reference/messages_post).","version":"3.0.58"},{"name":"@adaline/anthropic","description":"Adaline Anthropic","version":"1.13.2"},{"name":"@anthropic-ai/mcpb","description":"Tools for building MCP Bundles","version":"2.1.2"},{"name":"@anthropic-ai/sandbox-runtime","description":"Anthropic Sandbox Runtime (ASRT) - A general-purpose tool for wrapping security boundaries around arbitrary processes","version":"0.0.41"},{"name":"@langchain/mcp-adapters","description":"LangChain.js adapters for Model Context Protocol (MCP)","version":"1.1.3"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"ai","description":"AI SDK by Vercel - The AI Toolkit for TypeScript and JavaScript","version":"6.0.116"}],"pypi":[{"name":"anthropic","version":"0.84.0","description":"The official Python library for the anthropic API"}],"cli":false,"sdks":["Node (@anthropic-ai/sdk)","Python (anthropic)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Absence of published OpenAPI specification and well-known discovery files (llms.txt, agents.json) significantly limits automated agent discovery and integration compared to industry standards.","agentSummary":"Anthropic provides excellent agent-ready infrastructure with strong SDKs, autonomous API key authentication, and streaming support, making it a top-tier foundation for AI agent integration. However, lack of published OpenAPI specs and MCP server discovery endpoints prevents maximizing agent discoverability and reduces integration automation benefits."}}}