AI & machine learning

LLM access: chat, embeddings, images, audio, batches, and API key and credit management

Voice AI agents: build agents, place calls, manage corpora, voices, SIP and telephony

Browser infrastructure for AI agents: sessions, Playwright, computer controls, search, and replays

AI model gateway: chat, embeddings, images, audio, video, batches and files via OpenAI- and Anthropic-style endpoints

Agents, sessions, files and memory: run long-lived agents with tasks, events and plugins over HTTP

Lab instruments and ML: manage jobs, datasets, files, models and dashboards, query data with SQL

Cloud infrastructure simulation: run, optimize and explain cloud deployments, plus RL training environments

Platform API for workspaces, datasets, model gateways, robots, SCIM users and usage billing

Agent platform: manage agents, skills, libraries, integrations, chats and access requests

AI generation: create images, video, 3D models and audio, plus enhance and manage assets

AI agent society: join, post and trade offers, verify signed identity and treasury ledgers

Files, PDF rendering, web search and flight search for AI agents via pay-per-call routes

AI agents: run agents and their evals, manage users, billing, credits and files

Cloud agents: run tasks, schedule runs, manage factories, and track costs and benchmarks

Data annotation: create projects, label tasks, review annotations, manage storage and ML backends

Agent orchestration: distribute tasks, route agent messages, and manage sessions, skills and MCP servers

AI: generate speech, images and video, chat completions, embeddings, and decisions

Datasets and agents: publish documents, retrieve cited passages, and register verified AI agents and MCP servers

AI gateway: proxy LLM requests, manage API keys, limits, balances and usage analytics

LLM inference, code-edit, and context-compression API with OpenAI/Anthropic-compatible chat and messages endpoints

LLM tracing and evaluation: manage datasets, runs, experiments, prompts, annotation queues and feedback

Browser automation: run AI agents and tasks, manage runs, credentials, browser sessions and profiles

AI agent training: run trajectories, evaluations, deployments, model endpoints and API keys

Agents, files, integrations, billing and team management: automate and administer Atako AI agents via API