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Tutorial Completion String Normalisation + Keyed Dataset Comparison
x402
Tutorial Completion String Normalisation + 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 2026-11-03).
Normalises strings and performs keyed dataset comparison on two sets of tutorial completion records (starts and completions) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutorial completion — String normalisation + Keyed dataset comparison: String normalisation + 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
Returns two independent reports: (1) a string normalisation report covering game_area and other text fields across the primary dataset, and (2) a keyed dataset comparison report that matches rows by row_id between the two supplied datasets and reports differences in starts and completions values, all computed locally with no external lookups.
Example use cases
Game area tutorial funnel comparison
“I have two weeks of tutorial data for our game — week one has group-a with 50 starts and 12 completions, group-b with 80 starts and 20 completions, and week two has the same groups but starts and completions shifted slightly; please normalise the game area strings and compare the two datasets row by row so I can see exactly what changed.”
A/B test completion rate audit
“We ran an A/B test on our tutorial flow and I have two datasets of about 150 rows each, both keyed by row_id with game_area, date, starts, and completions — can you normalise the strings and do a keyed comparison between the control and variant datasets to flag any rows where the numbers differ?”
Monthly tutorial progress delta check
“I want to compare last month's tutorial completion records against this month's — both datasets have up to 100 rows with row_id, game_area, date, starts, and completions fields; please run string normalisation and a keyed dataset comparison so I can see which game areas improved or dropped off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two sets of tutorial completion records (up to 200 rows each) that need both string normalisation on text fields like game_area and a row-keyed numeric comparison between datasets — all in a single low-cost call. It is best suited for gaming or e-learning analytics workflows where you want to detect discrepancies between two snapshots of tutorial funnel data without any external data lookups or predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, game_area, date, starts, completions) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Starts or completions values outside allowed numeric range — schema rejection
- Empty primary rows array (minItems:1 not met) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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