Developer Tools / AI API / Agent Framework
OpenAI’s documentation for its Agents API, covering how to build and run cloud agents with the OpenAI platform. The page surfaces core concepts, quickstart material, SDKs, webhooks, tracing, tools, and related agent-building resources.
This is a real product/docs page for an AI developer offering, with enough visible structure to support a useful directory listing. The snapshot shows the Agents API overview, core concepts, quickstart and architecture sections, SDK and CLI references, tools and integrations, observability, sandboxes, and multi-agent features, which makes the page clearly relevant to people building AI agents.
The crawl snapshot is broad but not focused: it does not show a concise product summary, pricing, or a simple end-to-end example of what the Agents API can do from this page alone. It also leaves unclear which capabilities are fully available versus documented as adjacent features across other OpenAI docs pages.
Last evaluated 16 hours ago. Current rank #808. Down 6 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
