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Tutorial Completion Record Quality Audit and Keyed Dataset Comparison
x402
Tutorial Completion Record Quality Audit and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Runs two local analytical reports — a record quality audit and a keyed dataset comparison — on up to 200 tutorial completion rows (starts/completions) per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutorial completion — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied tutorial completion records (starts, completions). 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 independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, missing fields, or malformed dates across the submitted rows; and (2) a keyed dataset comparison report identifying differences between the primary and secondary datasets matched on row_id, including value mismatches in starts and completions fields. All processing is local with no external lookups.
Example use cases
Pre-release game tutorial data validation
“Before we ship, can you audit the quality of our tutorial completion records and compare them against last week's export? Primary dataset is today's pull with starts and completions per game_area and date, and the other dataset is the prior week — I need both the quality audit and the diff report.”
A/B test completion rate discrepancy check
“We ran two variants of our onboarding tutorial and collected starts and completions per group and date. Can you compare the two datasets by row key and also flag any record quality issues in either set — up to 150 rows each?”
Data pipeline integrity verification
“Our ETL just produced two versions of the tutorial completion table — one before and one after a transformation step. Can you do a keyed comparison and a quality audit on both to see if anything got corrupted or dropped? Rows have row_id, game_area, date, starts, and completions fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a keyed dataset comparison on tutorial completion records in a single low-cost call ($0.01 USDC). It is ideal for game analytics workflows where you want to validate starts/completions data integrity and reconcile two dataset versions by row key, with up to 200 rows per call and no external data dependencies.
Side effects
- Empty or missing 'rows' array returns a validation error
- More than 200 rows in either dataset exceeds the per-call limit and is rejected
- Rows missing required fields (row_id, game_area, date, starts, completions) fail schema validation
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Payment failure via x402 results in no report being returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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