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, machine learning, or neural network models, implementing distributed training, evaluating forecasts, or working with hierarchical time series data. Reach for this skill when agents need to forecast multiple series at scale, apply exogenous variables, perform cross-validation, or reconcile hierarchical forecasts.",
      "tags": [],
      "url": "https://nixtlaverse.nixtla.io/.well-known/agent-skills/nixtlaverse/skill.md"
    }
  ]
}