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Tutorial Completion Data Quality Audit: Record Quality, String Normalisation & Duplicate Key Report
x402
Tutorial Completion Data Quality Audit: Record Quality, String Normalisation & Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three independent data-quality reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 tutorial completion records (starts and completions by game area and date).
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutorial completion — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied tutorial completion records (starts, completions). 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 returned together: (1) a record quality audit flagging malformed, missing, or out-of-range values; (2) a string normalisation report highlighting inconsistent or non-standard strings in text fields like game_area; and (3) a duplicate key report identifying rows sharing the same key identifiers. All analysis is performed locally with no external lookups.
Example use cases
Pre-load data quality check for game onboarding
“Before I load this batch of tutorial completion data into our database, can you run a full quality check on these rows — I want a record quality audit, any string normalisation issues in the game_area field, and a duplicate row_id report? Here are the 150 rows.”
Detect duplicate keys in daily tutorial export
“I exported today's tutorial starts and completions from our game analytics system — about 80 rows with date, game_area, starts, and completions. Can you check for any duplicate row IDs and also flag string inconsistencies in the game_area values?”
Validate tutorial funnel data before weekly reporting
“I need to validate my weekly tutorial funnel data before presenting it to stakeholders. Can you do a record quality audit, normalise any messy strings in the game_area column, and identify any duplicated keys across these 60 tutorial completion records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three of record quality auditing, string normalisation, and duplicate key detection on tutorial completion data in a single call for up to 200 rows. It is ideal for pre-ingestion validation of game tutorial tracking data where you want bundled reporting at low cost ($0.01 USDC for all three reports). Prefer it over separate single-report endpoints when you need comprehensive data quality coverage in one round trip without any external lookups or live data enrichment.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, game_area, date, starts, completions) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric values outside the allowed range trigger validation errors
- Empty row array returns an error due to minItems:1 constraint
- Payment of 0.01 USDC must be included; missing payment results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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