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Save Files Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Save Files Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes the Pearson correlation between save_kb and write_ms, plus the weighted mean of the secondary measure, across up to 200 save-file records grouped by game area.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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) the Pearson correlation coefficient between save_kb and write_ms across the supplied rows, and (2) the weighted mean of the designated secondary measure (save_kb or write_ms). Results are computed locally on supplied data with no external lookups, covering up to 200 rows.
Example use cases
Game save performance correlation study
“I've collected 50 save file records across two game zones — can you compute the correlation between save file size in KB and write time in milliseconds, and also give me the weighted mean of write_ms? Here are the rows with row_id, date, game_area, save_kb, and write_ms fields.”
Comparing write latency across game areas
“I want to understand whether larger save files take longer to write in my RPG. Please run a two-measure correlation on save_kb vs write_ms and give me the weighted mean of save_kb as the secondary measure for these 80 game save records I'm providing.”
QA audit of save system performance
“As part of our QA process, I need a statistical correlation report between save_kb and write_ms across these 120 save file entries from our latest build, grouped by game_area — and include the weighted mean of write_ms.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a two-measure correlation and a weighted mean for save file performance data (save_kb and write_ms) in a single $0.01 call. Ideal for game developers auditing save system performance, QA engineers analyzing write latency trends, or analysts exploring size-vs-speed relationships in game save data. Prefer over generic stats tools when you need the two specific reports (correlation + weighted mean) bundled together against row-level game save records.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- All values for one measure are null — correlation cannot be computed
- field enum value not one of 'save_kb' or 'write_ms' causes rejection
- Payment of 0.01 USDC not provided — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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