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Physics Scenes Data Cleaner — String Normalisation + Missing Value Fill
x402
Physics Scenes Data Cleaner — String Normalisation + 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 2026-11-02).
Normalises strings and fills missing values in physics simulation scene records (body_count, step_ms) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Physics scenes — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied physics scenes records (body_count, step_ms). 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 analytical reports covering (1) string normalisation results for the supplied physics scene records and (2) explicit missing-value fill results for the chosen field (body_count or step_ms) using the selected method (zero, mean, or median), applied across up to 200 input rows. No external lookups or predictions are included.
Example use cases
Impute missing body counts in simulation data
“I have 50 physics scene records exported from my game engine and several body_count fields are null — can you fill them using median imputation and normalise the string fields like game_area at the same time?”
Zero-fill missing step timing before pipeline ingest
“Before I push my physics scene logs into our analytics pipeline I need to zero-fill any missing step_ms values and normalise all the strings — can you run that cleaning on my 120 rows and give me the two reports?”
Audit and fix game area labels with mean fill
“My game physics dataset has inconsistent game_area labels and some null body_count entries — please normalise the strings and fill those missing body_count values using the mean, for all 80 rows I'm sending.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-08-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw physics simulation or game scene records that contain dirty string labels or null numeric fields (body_count or step_ms) and need both string normalisation and missing-value imputation delivered together as two reports in a single call, without needing live data lookups or predictive modelling. It is especially suited for small-to-medium batches (up to 200 rows) at very low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Unknown fill method value outside zero/mean/median enum — rejected
- Missing required fields (row_id, game_area, date, body_count, step_ms) — validation error
- Numeric values outside allowed range (±1,000,000,000,000) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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