Everything in the catalog

APIs that turn public web pages and entities into structured, verified facts for AI applications.

Search API for AI agents over public web and private information, with a hosted MCP server.

Connects prompts, model calls, tool use, cost and failures to help debug LLM apps and agents in production

Search, scrape, crawl and answer API for AI agents that returns clean Markdown, HTML and structured JSON.

Unified OpenAI-compatible API in front of hundreds of LLMs, with routing, fallbacks and cost tracking.

Web access API for AI agents with real-time search, extraction, crawling and research endpoints.

Platform for deploying apps and AI agents, with an AI Gateway, sandboxes and fluid compute.

Web data infrastructure for agents: Fetch, Extract, Crawl, Batch and Browser Sessions over API, CLI, MCP or SDK.

Full Linux VMs for long-running agent tasks, with millisecond startup, live cloning and pause and resume.

Control plane for AI agent identity that issues short-lived, scope-limited credentials for agents, tools and MCP servers.

Wallets, payments, cards and billing for AI agents, reachable through one API, SDK, CLI or MCP server

Open-source workspace where teams build AI agents by chatting and run them in Slack, WhatsApp or Telegram

Platform to make AI agents and workflows durable, deterministic and explainable.

Open-source, code-first platform for scripts, workflows, internal apps and AI agents.

Enterprise agent security and governance platform covering agent discovery, guardrails, evals and traces

Open-source framework to evaluate, test and monitor ML and LLM systems

Open-source Python library for evals, red teaming and test generation for agentic systems

AI parsing tool that turns complex documents, tables and charts into clean markdown at scale.

Multimodal LLM that takes speech input directly, without a separate speech recognition stage, for real-time voice agents.

Platform for agent observability and evals: trace agents, score outputs and find patterns in production

Tracing, evaluation and monitoring for LLM apps and agents, with SDKs for several languages

Traces every LLM call in your AI product, with prompt, tokens, cost, latency and the user who triggered it

AWS's AI assistant for developers that chats, writes and tests code, upgrades Java and .NET apps, and helps operate AWS

Sourcegraph's coding agent and dev environment that runs agents in cloud machines called orbs that keep working after you close your laptop