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Save Files Analytics — Base-100 Series + Two-Measure Correlation
x402
Save Files Analytics — Base-100 Series + Two-Measure Correlation 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).
Computes a Base-100 indexed time series and a two-measure Pearson correlation report for game save-file metrics (save_kb and write_ms) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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
Returns two analytical reports: (1) a Base-100 indexed series showing the selected field's values normalized relative to the chosen base row, and (2) a two-measure correlation report quantifying the statistical relationship between save_kb and write_ms across the supplied rows (up to 200).
Example use cases
Tracking save file size growth over time
“I have 90 daily save file records across two game areas. Can you index save_kb to base 100 starting from row 0 and show me how file size grew relative to that baseline, plus the correlation between save_kb and write_ms?”
Diagnosing write performance vs file size
“I want to know if larger save files cause slower write times in my game. Here are 50 rows of save_kb and write_ms data — can you run a two-measure correlation and give me a base-100 series for write_ms starting from row 5?”
Cross-area save metric comparison
“I've got save file logs from three game areas over 30 days. Please compute a base-100 index on save_kb anchored at row 0 and also tell me how strongly save_kb and write_ms are correlated across all the records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular game save-file records with both a size metric (save_kb) and a write-duration metric (write_ms) and need both a normalized time-indexed series (Base-100) and a statistical correlation between the two measures in a single low-cost call. Prefer it over general-purpose statistics APIs when your data fits the game-area + date + save_kb + write_ms schema and you want both reports for $0.01.
Side effects
- Fewer than 1 row supplied — rejected by minItems validation
- More than 200 rows supplied — rejected by maxItems constraint
- base_index references a row index outside the actual row count — may produce error or undefined behavior
- Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row — schema validation failure
- Date strings not matching YYYY-MM-DD pattern — rejected by pattern validation
- Non-numeric or out-of-range values for save_kb or write_ms — rejected by schema bounds
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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