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Tutorial Completion Analytics — Record Quality Audit + String Normalisation + Category Frequencies
x402
Tutorial Completion Analytics — Record Quality Audit + String Normalisation + Category Frequencies 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).
Runs three local analytical reports on tutorial completion records (starts and completions): record quality audit, string normalisation, and category frequency counts — up to 200 rows, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutorial completion — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 analytical reports: (1) a record quality audit flagging issues such as missing values, invalid dates, or out-of-range numbers; (2) normalised string representations of text fields like game_area; (3) frequency counts of each category (e.g. game_area values) across the supplied rows. All computed locally from supplied data with no external lookups.
Example use cases
Game onboarding data quality check
“I have a CSV of tutorial starts and completions across different game areas for the past month — can you audit it for data quality issues, normalise the game area strings, and show me how many records fall into each category?”
Detecting dirty category labels in tutorial data
“Our game tutorial dataset has inconsistent game_area labels like 'Group A', 'group-a', and 'GROUP A' — can you normalise those strings and give me a frequency breakdown by category so I can see which areas have the most tutorial activity?”
Validating tutorial completion records before reporting
“Before I send this tutorial completion report to stakeholders, can you check up to 200 rows for any record quality problems — missing values, bad dates, out-of-range starts or completions — and also give me a category frequency summary by game_area?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and category frequencies — on a single batch of tutorial completion records (up to 200 rows) at a fixed low cost of $0.01 USDC. Prefer it over general data tools when your data has game_area and starts/completions fields, and you want all three reports in one call without building custom analytics logic.
Side effects
- Empty rows array or missing required fields (row_id, game_area, date, starts, completions) causes validation error
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Non-numeric or out-of-range values for starts or completions may be flagged or rejected
- Payment failure (insufficient USDC balance) prevents call from completing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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