Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "FleetQ",
  "description": "AI Agent Mission Control \u2014 manage experiments, workflows, crews, approvals, and full agent lifecycle.",
  "url": "https://fleetq.net/mcp",
  "version": "1.26.0",
  "authentication": {
    "schemes": [
      "Bearer"
    ]
  },
  "skills": [
    {
      "id": "run_experiment",
      "name": "Run Experiment",
      "description": "Creates and executes an AI experiment through the full 20-state pipeline",
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text",
        "structured"
      ],
      "examples": [
        "Run a content scoring experiment for signal #abc123"
      ]
    },
    {
      "id": "manage_workflow",
      "name": "Manage Workflow",
      "description": "Create, edit, validate, and execute visual DAG workflows with 8 node types",
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text",
        "structured"
      ],
      "examples": [
        "Create a workflow that scores a signal and sends the result via email"
      ]
    },
    {
      "id": "coordinate_crew",
      "name": "Coordinate Crew",
      "description": "Orchestrate multi-agent crews for complex tasks using hierarchical or sequential processes",
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text",
        "structured"
      ],
      "examples": [
        "Execute a research crew to analyse competitor pricing"
      ]
    },
    {
      "id": "manage_approvals",
      "name": "Manage Approvals",
      "description": "Review, approve, reject, and complete human-in-the-loop approval requests and human tasks",
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text",
        "structured"
      ],
      "examples": [
        "List pending approvals and approve the content review for experiment #xyz"
      ]
    },
    {
      "id": "query_platform",
      "name": "Query Platform",
      "description": "Read agents, skills, tools, credentials, signals, artifacts, budget, and audit logs",
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text",
        "structured"
      ],
      "examples": [
        "What is the current budget remaining for my team?"
      ]
    }
  ],
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": true
  }
}