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Tutorial Completion — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Tutorial Completion — Adjacent Row Changes + Explicit Missing-Value Fill 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).
Analyzes tutorial completion data (starts and completions) by computing adjacent row changes and filling missing values using a chosen strategy, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutorial completion — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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 analytical reports: (1) adjacent row changes showing the delta between consecutive rows for the target field, and (2) explicit missing-value fills replacing nulls in the target field using the chosen strategy (zero, mean, or median). Both reports are computed locally from the supplied rows with no external lookup.
Example use cases
Daily game tutorial funnel analysis
“I've got daily tutorial data for 'zone-alpha' and 'zone-beta' with some missing completions values. Run adjacent row changes and fill the nulls in the completions field using the mean — here are the rows for the past four days.”
Imputing missing starts for reporting
“My tutorial dataset has null starts values scattered across rows for October — can you fill those missing starts using zero and also show me the row-over-row changes in starts across those records?”
Cleaning completion records before dashboard upload
“Before I upload this tutorial data to our dashboard I need two things: fill any missing completions values using median, and compute the adjacent row changes for completions. Here are 12 rows across three game areas.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific data-cleaning and analysis operations — adjacent row delta computation and explicit null imputation — applied to tutorial or game completion records in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local, deterministic analytics without any external API calls, predictions, or professional assessments. Prefer it over general-purpose analytics platforms when cost certainty ($0.01 per call for two reports) and simplicity matter.
Side effects
- Input array exceeds 200 rows — request rejected
- Invalid date format (must be YYYY-MM-DD) — validation error
- Unknown fill method (must be zero, mean, or median) — enum validation failure
- Missing required fields (row_id, game_area, date, starts, completions) — schema error
- Empty rows array — minimum item count not met
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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