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Save Files — String Normalisation + Exact Row Deduplication
x402
Save Files — String Normalisation + Exact Row Deduplication 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).
Normalises strings and removes exact duplicate rows from video game save file records (save_kb, write_ms), producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 analytical reports: (1) a string normalisation report covering text fields such as row_id and game_area, and (2) an exact row deduplication report identifying and removing fully identical rows. Both reports are computed locally from the supplied data, with no external lookups or predictions.
Example use cases
Game save data deduplication audit
“I have a batch of game save records with columns row_id, game_area, date, save_kb, and write_ms — some rows look like exact duplicates. Can you run string normalisation and exact deduplication on them and give me two reports?”
Pre-analysis save file cleanup
“Before I analyse my game save logs, I need to normalise the text fields and strip out any exact duplicate rows. The data has up to 150 entries with row_id, game_area, date, save_kb, and write_ms. Can you do that and return the two cleaned reports?”
Save file quality check by game area
“Can you take my save file dataset — it has row_id, game_area, date, save_kb in KB, and write_ms in milliseconds — and produce a string normalisation report plus an exact row deduplication report? There are about 80 rows across different game areas.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have video game save file records needing both string field normalisation and exact duplicate row removal in a single call, and your dataset is 200 rows or fewer. It is ideal for lightweight, offline data quality checks on save file metrics (save_kb, write_ms) without requiring live lookups or external data enrichment. Prefer it over general-purpose deduplication tools when you specifically need two co-produced reports (normalisation + deduplication) at low cost ($0.01 USDC).
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
- Date field not in YYYY-MM-DD format causes schema rejection
- Numeric fields (save_kb, write_ms) out of allowed range cause errors
- Empty rows array (minItems: 1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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