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Save Files Analytics — Adjacent Row Changes + Two-Measure Correlation
x402
Save Files Analytics — Adjacent Row Changes + 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 2026-11-06).
Analyzes save file records to produce two reports: adjacent row changes for a chosen metric and two-measure correlation between save_kb and write_ms.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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
Two analytical reports returned together: (1) an adjacent row changes report showing the delta between consecutive rows for the selected metric (save_kb or write_ms), and (2) a two-measure correlation report quantifying the statistical relationship between save_kb and write_ms across the supplied rows. Covers up to 200 rows of input data using local analytical engines with no external lookups.
Example use cases
Game save performance regression check
“I have 80 rows of daily save file data from my game — each row has a row_id, game_area, date, save_kb, and write_ms. Can you compute how save_kb changes between adjacent rows and also show me how save_kb correlates with write_ms?”
Detecting write time spikes across game areas
“Here are 120 game save records with save_kb and write_ms values across different game areas. Run an adjacent row change analysis on write_ms and also correlate write_ms against save_kb so I can see if larger saves are causing write slowdowns.”
Validating save file optimization after patch
“We just shipped a patch to optimize save file sizes. I have 60 before-and-after save records with row_id, date, game_area, save_kb, and write_ms. Can you show me adjacent row changes in save_kb and the correlation between save_kb and write_ms to confirm the optimization worked?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have sequential game save file records and need both a row-to-row change analysis and a correlation between save size and write time in a single $0.01 call. Ideal for game developers monitoring save performance across areas or patches. Prefer this over general-purpose stats tools when your data already conforms to the save_kb/write_ms schema and you want two bundled reports without setting up external analytics infrastructure.
Side effects
- More than 200 rows submitted — request rejected at max item limit
- Missing required fields (row_id, game_area, date, save_kb, or write_ms) cause validation errors
- Invalid date format not matching YYYY-MM-DD pattern causes schema rejection
- Null values in save_kb or write_ms may affect correlation computation quality
- Field enum value outside [save_kb, write_ms] causes validation failure
- Empty rows array (minItems: 1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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