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Save Files Analytics — Numeric Interval Filter + Base-100 Series
x402
Save Files Analytics — Numeric Interval Filter + Base-100 Series 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 up to 200 supplied save-file records by filtering rows within a numeric interval and computing a Base-100 index series for save_kb or write_ms fields, returning two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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 independent reports: (1) rows filtered to the specified numeric interval for the chosen field (save_kb or write_ms), and (2) a Base-100 index series normalizing that field relative to the specified base row — all computed locally on the supplied data, up to 200 rows, with no external lookups.
Example use cases
Filter oversized save files by size range
“Here are 50 game save records with save_kb values — filter to only rows between 100 and 5000 KB and give me a Base-100 index series for save_kb anchored at the first row (row-1, 2026-10-01, group-alpha).”
Normalize write latency for performance review
“I've got 120 save file entries with write_ms data across several game areas. Filter to rows where write_ms is between 5 and 200 ms, then compute a Base-100 series for write_ms starting from base index row 0.”
Compare save sizes across game areas
“Can you run the interval filter and Base-100 series reports on my 80 save file records? I want save_kb filtered between 0 and 500, indexed relative to the first row (index 0), so I can compare size growth across group-a and group-b areas.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have game save file records with numeric save_kb or write_ms measurements and need both interval-range filtering and Base-100 normalization in a single cheap call ($0.01 USDC). Ideal for offline/batch analysis of supplied data without any live data fetching, external predictions, or professional assessments — best when you need two analytical views (filtered subset + indexed trend) on the same dataset simultaneously.
Side effects
- Missing required row fields (row_id, date, game_area) returns a validation error
- Fewer than 1 or more than 200 rows causes rejection
- Date strings not matching YYYY-MM-DD pattern are rejected
- Field value outside ±1,000,000,000,000 range may be clamped or error
- base_index out of 0–199 range causes an error
- No rows fall within the specified min/max interval — empty filter result returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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