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Get Started Free →Triggered by "tidy up", "clean up transactions", "categorize uncategorized", "organize my transactions"
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | 51% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 44% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -23% | 0% |
Batch-categorize uncategorized transactions by clustering similar ones and applying categories in bulk.
query MCP tool:json { "detail": true, "is_uncategorized": true, "period": "last_90d", "limit": 200, "sort": "-amount" } If $ARGUMENTS contains a time period (e.g. "this month", "last 30 days"), use that instead of last_90d.
Ask the user to approve, modify, or skip each cluster.
admin { "entity": "rule", "action": "preview", ... }admin { "entity": "rule", "action": "create", ... }json { "action": "categorize", "filter": { "search": "<pattern>" }, "category_name": "<approved_category>" } Also set the party if one was approved: json { "action": "set_party", "filter": { "search": "<pattern>" }, "party_name": "<approved_party>" }
Stick to the facts. Present findings and suggestions without judgement — no commentary on spending habits. Just clear, plain-language observations and actionable options.
Other measured skills in the registry, with their headline benchmark lift.