Track preference evolution

Analytics & Quality

Monitor how preferences shift over time, measure annotator consistency, and drill into demographic breakdowns. Export raw data or connect dashboards to your own BI tools.

Key Capabilities

Trend Analysis

Visualize how preference scores evolve across commits, branches, and time windows. Detect drift early and correlate shifts with specific annotation batches or annotator cohorts.

Quality Dashboards

Real-time dashboards display inter-annotator agreement, gold accuracy, response time distributions, and consistency scores. Filter by project, annotator, or demographic segment.

Demographic Breakdowns

Slice preference data by annotator demographics to uncover systematic differences. Understand how age, region, or expertise level affects aesthetic judgments across your content.

Exports & Integrations

Export annotation data as CSV, JSON, or Parquet. Push metrics to Datadog, Grafana, or any webhook-compatible dashboard. Schedule recurring exports for downstream ML pipelines.

Usage

Fetch quality metrics for a project
curl https://api.commandagi.com/v1/projects/proj_abc123/metrics \
  -H "Authorization: Bearer $COMMANDAGI_API_KEY" \
  -G -d "window=7d" -d "group_by=annotator"

# Response
# {
#   "window": "7d",
#   "total_annotations": 12480,
#   "agreement_kappa": 0.84,
#   "gold_accuracy": 0.96,
#   "annotators": [
#     { "id": "ann_01", "count": 3200, "kappa": 0.91, "gold_acc": 0.98 },
#     { "id": "ann_02", "count": 2980, "kappa": 0.82, "gold_acc": 0.95 }
#   ]
# }

Ready to get started?

Create your first preference profile in minutes.