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Save Files Numeric Distribution and Adjacent Row Changes Analyzer
x402
Save Files Numeric Distribution and Adjacent Row Changes Analyzer 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).
Analyzes save file records (save_kb, write_ms) to produce two local analytical reports: a numeric distribution summary and an adjacent row change report, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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 numeric distribution breakdown of the selected field (save_kb or write_ms) across up to 200 rows, showing spread, frequency, and distributional characteristics; and (2) an adjacent row changes report showing differences between consecutive row values, highlighting sequential variation in the save file metric.
Example use cases
Spotting save size spikes between game sessions
“I have a list of game save records with dates, game areas, save_kb, and write_ms values — can you run a numeric distribution and adjacent row change analysis on the save_kb field to see if there are any big jumps between sessions? Here are 8 rows from group-a and group-b across October 2026.”
Profiling write latency across game areas
“Can you analyze the write_ms values in my save file dataset for numeric distribution patterns and show me how write time changes between consecutive rows? I have about 50 records from different game areas dated throughout 2026 — use write_ms as the field.”
QA check on save file data consistency
“I want to validate my save file records by looking at how save_kb is distributed and whether there are unusual jumps between adjacent rows — can you run both the distribution and adjacent row changes reports on this batch of 120 rows tagged with game areas and dates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular game save file records with save_kb and write_ms fields and need both a distributional overview and sequential row-to-row change detection in a single low-cost call. It is best suited for offline batch analysis of up to 200 rows without needing external lookups, predictions, or real-time data. Prefer alternatives if you need trailing averages, IQR outlier flagging, grouped summaries, or analyses of non-save-file datasets.
Side effects
- Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Field value outside numeric bounds causes rejection
- Empty rows array returns an error
- Non-numeric values in save_kb or write_ms (when not null) cause computation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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