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Save Files Analytics — String Normalisation + Daily Sum Series
x402
Save Files Analytics — String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs two local analytical reports (string normalisation and daily sum series) on up to 200 save-file records containing save_kb and write_ms metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied save files records (save_kb, write_ms). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports: (1) string normalisation output for the game_area field across all supplied rows, and (2) a daily sum series for the selected numeric field (save_kb or write_ms) aggregated by date. No external lookups, predictions, or live data — purely computed from the supplied rows.
Example use cases
Daily save size totals per date
“I have 50 save file records from my game with dates, game areas, save sizes in KB and write times in ms — can you compute the daily total save_kb across all those rows and also normalize the game area strings?”
Write latency daily aggregation
“Run a daily sum series on write_ms for these game save records and normalize the game area labels — I want to see total write milliseconds summed per date across up to 150 rows.”
Game area string cleanup with totals
“My save file dataset has inconsistent game area strings and I need both a normalised version of those strings and a daily sum of save_kb over about 80 rows spanning October 2026 — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical labels and a daily sum time series computed locally on save-file telemetry data (save_kb, write_ms) in a single low-cost call. Ideal for game developers or analytics pipelines needing lightweight offline aggregation on up to 200 rows without any external data lookups or predictions.
Side effects
- More than 200 rows supplied — request exceeds maxItems limit
- Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row causes validation failure
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Invalid field enum value (must be 'save_kb' or 'write_ms')
- Payment of 0.01 USDC not included or declined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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