{"data":{"_id":"69b2da6867df398baec12e9d","name":"OpenAI","slug":"openai","url":"https://openai.com","description":"","logo":"","category":"AI & ML","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":8,"confidence":"scanner","evidence":"OpenAI's API supports field selection via response_format, streaming for token-efficient real-time responses, and batching APIs for efficient bulk processing.","na":false},"access":{"score":9,"confidence":"scanner","evidence":"Multiple official SDKs (Node, Python, Azure), official packages across npm/PyPI ecosystem (LangChain, Vercel AI SDK, MCP adapters), REST API, and emerging agent frameworks (@openai/agents) provide exceptional programmatic access breadth.","na":false},"auth":{"score":9,"confidence":"scanner","evidence":"API key-based authentication with fine-grained permissions, organization IDs, project-level scoping, and no OAuth friction enable autonomous agent authentication with minimal setup.","na":false},"speed":{"score":9,"confidence":"scanner","evidence":"Streaming responses, low-latency inference, high rate limits for enterprise users, and support for concurrent API calls enable fast agent operations with minimal blocking.","na":false},"discoverability":{"score":7,"confidence":"scanner","evidence":"Well-documented REST API with clear endpoint patterns and comprehensive guides, but no OpenAPI spec published; homepage returns 403 and lacks structured data; strong developer docs compensate partially.","na":false},"reliability":{"score":8,"confidence":"scanner","evidence":"Consistent API versioning, stable response schemas, idempotency support via headers, and industry-leading uptime; however, no public OpenAPI spec limits schema discoverability.","na":false},"safety":{"score":7,"confidence":"scanner","evidence":"Project-level API keys with granular model/endpoint permissions, API usage monitoring, and request logging provide good isolation; lack of explicit sandbox mode or dry-run capability limits pre-execution validation.","na":false},"reactivity":{"score":8,"confidence":"scanner","evidence":"Native streaming responses via Server-Sent Events, WebSocket support for real-time interactions, and webhook support for async events enable reactive agent workflows.","na":false}},"agentGrade":"A","agentScore":8.26,"accessMethods":{"restApi":false,"graphql":false,"cli":false,"sdk":["Node (openai)","Python (openai)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":51,"badgeEmbedCount":14,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.699Z","updatedAt":"2026-04-08T00:37:51.490Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:34:38.284Z","scanVersion":1,"rawSignals":{"homepage":{"status":403,"contentLength":13908,"hasStructuredData":false,"hasDeveloperDocs":false,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"openai","description":"The official TypeScript library for the OpenAI API","version":"6.27.0"},{"name":"@opentelemetry/instrumentation-openai","description":"OpenTelemetry instrumentation for the `openai` OpenAI client library","version":"0.11.0"},{"name":"@langchain/openai","description":"OpenAI integrations for LangChain.js","version":"1.2.13"},{"name":"@azure/openai","description":"A companion library to openai for Azure OpenAI.","version":"2.0.0"},{"name":"@ai-sdk/openai","description":"The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.","version":"3.0.41"},{"name":"@openai/codex","description":"<p align=\"center\"><code>npm i -g @openai/codex</code><br />or <code>brew install --cask codex</code></p> <p align=\"center\"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align=\"center\">   <img src=\"https://","version":"0.114.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@langchain/mcp-adapters","description":"LangChain.js adapters for Model Context Protocol (MCP)","version":"1.1.3"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"@openai/agents","description":"The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.","version":"0.7.0"}],"pypi":[{"name":"openai","version":"2.26.0","description":"The official Python library for the openai API"}],"cli":false,"sdks":["Node (openai)","Python (openai)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"No published OpenAPI specification or `.well-known/llms.txt` makes endpoint discovery and schema validation harder for agents compared to competitors with machine-readable API contracts.","agentSummary":"OpenAI is among the best tools for agent integration with exceptional API access, authentication, speed, and streaming capabilities across multiple official SDKs and frameworks. The primary friction point is the absence of an OpenAPI spec and standard agent discovery signals, requiring agents to rely on hardcoded endpoints and version-pinned SDKs."}}}