{
  "schema_version": "2026-06-30",
  "company": "Tangle",
  "homepage": "https://tangle.tools/",
  "status": "https://tangle.tools/status/",
  "category": "AI agent infrastructure",
  "thesis": "Self-improving agents need a loop: run in a reproducible environment, route models by policy, capture evidence, evaluate candidates, and deploy only better variants.",
  "products": [
    {
      "name": "Sandbox",
      "role": "isolated runtime",
      "url": "https://tangle.tools/services/sandbox",
      "manifest": "https://sandbox.tangle.tools/.well-known/tangle-agent.json",
      "package": "@tangle-network/sandbox",
      "does": "Creates reproducible workspaces for coding agents, tests, browser tasks, files, terminals, and snapshots."
    },
    {
      "name": "Router",
      "role": "model control plane",
      "url": "https://router.tangle.tools/",
      "manifest": "https://router.tangle.tools/.well-known/tangle-agent.json",
      "openapi": "https://router.tangle.tools/openapi.json",
      "package": "@tangle-network/tcloud",
      "does": "Routes OpenAI-compatible calls across providers with fallback, policy, health, and one API key."
    },
    {
      "name": "Browser Agent",
      "role": "web action harness",
      "url": "https://tangle.tools/services/browser-agent",
      "manifest": "https://tangle.tools/.well-known/tangle-browser-agent.json",
      "package": "@tangle-network/browser-agent-driver",
      "cli": "bad",
      "does": "Runs real Chromium from a goal and captures screenshot, DOM, and step evidence."
    },
    {
      "name": "Agent Eval",
      "role": "evaluation substrate",
      "url": "https://github.com/tangle-network/agent-eval",
      "package": "@tangle-network/agent-eval",
      "does": "Scores traces, compares candidates, and blocks regressions in agent behavior."
    },
    {
      "name": "Blueprint Agent",
      "role": "agent workbench",
      "url": "https://tangle.tools/services/blueprint-agent",
      "app": "https://ai.tangle.tools/",
      "does": "Builds, tests, evaluates, and packages agent services from one workbench."
    },
    {
      "name": "Blueprints and x402",
      "role": "commercial runtime",
      "url": "https://tangle.tools/blog/x402-payments-for-ai-agents",
      "does": "Attaches usage pricing, service discovery, operator deployment, and payment settlement to agent-callable services."
    }
  ]
}