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Save Files Analyzer — Numeric Row Ordering + Adjacent Row Changes
x402
Save Files Analyzer — Numeric Row Ordering + Adjacent Row Changes 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).
Analyzes save file metrics (save_kb, write_ms) by sorting rows numerically and computing adjacent row-to-row changes, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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
Two analytical reports covering: (1) rows sorted in numeric order by the selected field, and (2) adjacent row-to-row change values (deltas) for the selected metric (save_kb or write_ms). Reports are computed locally using shared analytical engines with no external lookups.
Example use cases
Game save size growth tracking
“I have 50 save file records across different game areas with dates and sizes in KB — can you sort them numerically and show me how the save_kb value changes between each consecutive row so I can see where the big jumps happen?”
Write performance regression detection
“Here are my game save records with write_ms timings per row — please order them numerically and compute the adjacent changes in write_ms so I can spot any sudden regressions in write speed between saves.”
Multi-area save file comparison
“I've got save file data from two game areas (group-a and group-b) across about 80 rows — run the numeric row ordering and adjacent row change analysis on save_kb for me so I can compare how file sizes evolve sequentially in each area.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-116?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand sequential progression and step-changes in game save file metrics (size or write time) across ordered rows, especially when data spans multiple game areas and you want both an ordered view and a delta report in a single low-cost call. Prefer this over generic stats endpoints when you specifically need adjacent-row difference analysis on save file data.
Side effects
- Missing required fields (row_id, game_area, date, save_kb, write_ms) return validation errors
- Exceeding 200 rows causes rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- Null numeric values may affect delta computation
- Invalid field enum value (anything other than save_kb or write_ms) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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