tokscale_model_trends
Read-only
Track AI model adoption trends over time from local data. See when models first appear, their active days, tokens, and monthly adoption curve.
Instructions
Model adoption trends over time from your local tokscale data. Combines monthly aggregates with per-day contribution data to build a model-level adoption timeline: each model's first_seen / last_seen / active_days / tokens / clients, plus a month-by-month adoption curve showing how many new models appeared each month. Returns months[], models[], and adoption_curve[]. Use this to track which AI models you adopted when, and how your model mix evolved over time. Do NOT use this for cost trends — use tokscale_cost_analysis for current cost breakdown.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| error | No | Present if tokscale is unavailable | |
| models | No | Per-model adoption: { model, first_seen, last_seen, active_days, tokens, cost, messages, client_count, clients } | |
| months | No | Per-month aggregates: { month, models, model_count, input, output, cache_read, messages, cost } | |
| date_range | No | { start, end } date range of the data | |
| adoption_curve | No | Per-month new-model count: { month, new_models, new_model_count, total_models } |