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Simulation Caches Duplicate Key Report + Missing Value Fill
x402
Simulation Caches Duplicate Key Report + 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 2026-10-21).
Analyzes up to 200 simulation cache records to produce a duplicate key report and fill missing values in cache_gb or simulation_seconds using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill for supplied simulation caches records (cache_gb, simulation_seconds). 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 duplicate key report identifying rows with repeated row_id values, and (2) a missing-value fill report showing which rows had null cache_gb or simulation_seconds values and what replacement values were applied using the chosen method (zero, mean, or median). Both reports are generated from the supplied data with no external lookups.
Example use cases
Deduplicating simulation cache pipeline data
“I've got 120 rows of simulation cache data with row_id, asset_group, date, cache_gb, and simulation_seconds — can you run a duplicate key report to find any repeated row IDs and fill the missing cache_gb values using the mean?”
Imputing nulls before simulation analytics
“Before I run my analysis, I need to fill in the missing simulation_seconds values in my 80-row dataset using zero imputation, and also check if there are any duplicate keys — can you do both at once?”
Data quality audit for asset group caches
“I have a simulation cache table with entries for group-a and group-b across several dates, some cache_gb values are null — please flag any duplicate row_ids and fill those nulls using the median value.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-070?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate-key detection and missing-value imputation for simulation cache records (cache_gb and simulation_seconds) in a single call for up to 200 rows. It is ideal for pre-processing simulation data pipelines where row uniqueness and field completeness are required before downstream analytics, and when no external data lookup or prediction is needed.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, asset_group, date) cause validation errors
- All values present with no nulls — missing-value fill report will be empty
- No duplicate keys found — duplicate report will be empty
- Invalid method enum value (not zero/mean/median) causes parameter error
- Invalid field enum value (not cache_gb/simulation_seconds) causes parameter error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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