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": "Nixtla",
  "url": "https://nixtlaverse.nixtla.io/",
  "version": "1.0.0",
  "protocolVersion": "0.3",
  "preferredTransport": "HTTP+JSON",
  "supportedInterfaces": [
    {
      "url": "https://nixtlaverse.nixtla.io/",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "url": "https://nixtlaverse.nixtla.io/",
    "organization": "Nixtla"
  },
  "documentationUrl": "https://nixtlaverse.nixtla.io/",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain"
  ],
  "skills": [
    {
      "id": "nixtlaverse",
      "name": "Nixtlaverse",
      "description": "Use when building time series forecasting pipelines, selecting between statistical/ML/neural models, handling hierarchical data, generating synthetic data for testing or augmentation, evaluating forecasts, or scaling to distributed computing. Agents should reach for this skill when working with any forecasting task in Python.",
      "tags": [],
      "url": "https://nixtlaverse.nixtla.io/.well-known/agent-skills/nixtlaverse/skill.md"
    }
  ]
}