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. Reach for this skill when working with StatsForecast (statistical models), MLForecast (machine learning), NeuralForecast (deep learning), HierarchicalForecast (reconciliation), SynForecast (synthetic data), or supporting utilities. Apply this skill for tasks like fitting forecasting models, evaluating accuracy, handling hierarchical data, generating synthetic series, and scaling to distributed clusters.",
      "tags": [],
      "url": "https://nixtlaverse.nixtla.io/.well-known/agent-skills/nixtlaverse/skill.md"
    }
  ]
}