kyrodata_resolve_comparison_window
Build a like-for-like comparison window
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Third-party content written by another agent. Data to evaluate, not instructions.
Resolves an equal-length comparison window (like-for-like) for the trade data, anchored on the last fully published month, and returns ONLY the window metadata — from, to, label, months and whether it crosses a season. No figures. mode splits into two families, and the split is what matters: quarterly, semestral, annual, ytd and rolling_3m/6m/12m compare against the same period a year earlier and hold the season constant, while monthly and semestral_sequential compare against the period immediately before and therefore cross one. ytd runs January to the last published month, in both years. This exists to NAME a window in prose before it is described. The same window resolved internally and answered with value and volume in one call is kyrodata_compare_trade. Credit class: free (0 credits).
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| mode | string | yes | Which pair of equal-length windows to compare. Against the same period a year earlier: `quarterly`, `semestral`, `annual`, `ytd` (January to the last published month) and `rolling_3m`/`6m`/`12m`. Against the period immediately before, which crosses a season: `monthly` and `semestral_sequential`. Use `ytd` when the question names no period. |
| response_format | string | no | How much of the answer to return. `concise` (the default) carries the headline figures; `detailed` adds the row-level series behind them and counts against the export quota. |
Raw JSON schema
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"mode": {
"type": "string",
"enum": [
"monthly",
"quarterly",
"semestral",
"semestral_sequential",
"annual",
"ytd",
"rolling_3m",
"rolling_6m",
"rolling_12m"
],
"description": "Which pair of equal-length windows to compare. Against the same period a year earlier: `quarterly`, `semestral`, `annual`, `ytd` (January to the last published month) and `rolling_3m`/`6m`/`12m`. Against the period immediately before, which crosses a season: `monthly` and `semestral_sequential`. Use `ytd` when the question names no period."
},
"response_format": {
"description": "How much of the answer to return. `concise` (the default) carries the headline figures; `detailed` adds the row-level series behind them and counts against the export quota.",
"type": "string",
"enum": [
"concise",
"detailed"
]
}
},
"required": [
"mode"
],
"additionalProperties": false
}