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Models-as-a-Service (MAAS)

Run inference on ZettaQuant's proprietary financial AI models via API endpoints.

Prerequisites: Authentication & API Setup

Available Models​

Macro​

See the Macro models page for all central bank and macro models.

Equity​

See the Equity models page for all earnings call and financial sentiment models.

Endpoints​

List Models​

GET /v1/models
curl -H "x-api-key: $ZQ_API_KEY" $ZQ_BASE_URL/v1/models

Response:

{
  "models": [
    {
      "id": "cb_stance_label",
      "name": "Central Bank Stance Classifier",
      "description": "Classifies central bank communication as Hawkish, Dovish, Neutral, or Irrelevant",
      "task": "sequence_classification",
      "model_type": "classifier",
      "access_tier": "free",
      "compute_tier": "gpu_small",
      "labels": ["Hawkish", "Dovish", "Neutral", "Irrelevant"],
      "training_datasets": ["WCB_Meeting_Minutes"],
      "updated_at": "2026-01-15"
    },
  ],
  "total": 1
}

Run Inference​

POST /v1/models/infer

Request Body:

{
  "model_id": "cb_stance_label",
  "instances": [
    {"text": "The Federal Reserve indicated it will maintain current rates"},
    {"text": "ECB announces aggressive rate hikes to combat inflation"}
  ]
}
FieldTypeRequiredDescription
model_idstringYesModel identifier
instancesarrayYesList of texts (max 128)

Example:

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_stance_label", "instances": [{"text": "Fed raises rates by 50bps"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Response:

{
  "model_id": "cb_stance_label",
  "task": "sequence_classification",
  "predictions": [
    {"label": "Hawkish"}
  ]
}

Support​

Email: support@zettaquant.ai