tokscale_model_trends
Read-only
Track AI model adoption over time from local tokscale data. See first/last seen, active days, tokens, and month-by-month adoption curves to understand your evolving model mix.
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 } |