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Achievement Progress — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Achievement Progress — Record Quality Audit + String Normalisation + 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 2026-11-02).
Runs three local analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 achievement progress rows containing eligible_players and unlocks data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Achievement progress — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied achievement progress records (eligible_players, unlocks). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging data issues in the supplied rows, (2) a string normalisation report identifying and correcting inconsistent text in game_area and other string fields, and (3) an adjacent row changes report showing value differences between consecutive rows for the selected numeric field (eligible_players or unlocks). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Audit game achievement unlock data
“I have a dataset of up to 150 achievement progress rows with fields like game_area, date, eligible_players, and unlocks — can you run a record quality audit, string normalisation, and adjacent row changes report on the unlocks column so I can spot any data issues?”
Detect sudden eligible player shifts
“Can you check my achievement progress data for row-to-row changes in eligible_players? I've got about 80 rows with game_area labels that might also have casing inconsistencies, so run the full three-report bundle — quality audit, string normalisation, and adjacent row changes.”
Normalise game area labels in progress data
“My achievement tracking export has messy game_area strings and I suspect some rows have quality issues — please run the string normalisation, record quality audit, and adjacent row change detection on these 60 rows, focusing on the eligible_players field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-19-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations — record quality auditing, string normalisation, and adjacent row change detection — on achievement progress data in a single $0.01 call. It is ideal for game analytics pipelines where you want to validate data quality, clean up game area labels, and identify sudden row-to-row shifts in eligible players or unlocks without any external API calls or live lookups. Prefer it over single-report endpoints when all three analyses are needed simultaneously on the same dataset.
Side effects
- More than 200 rows submitted — request rejected with a validation error
- Missing required fields (row_id, game_area, date, eligible_players, unlocks) — row-level validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'eligible_players' or 'unlocks' — enum validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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