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Simulation Caches Duplicate Key Report and Keyed Dataset Comparison
x402
Simulation Caches Duplicate Key Report and 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 2026-10-21).
Analyzes up to 200 rows of simulation cache records (cache_gb, simulation_seconds) to produce two reports: a duplicate key report and a keyed comparison between two supplied datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Duplicate key report + Keyed dataset comparison: Duplicate key report + Keyed dataset comparison 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 analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the primary dataset, with counts and affected rows; and (2) a keyed dataset comparison showing row-by-row differences between the two supplied datasets on cache_gb and simulation_seconds fields, keyed by row_id, asset_group, and date.
Example use cases
Pre-merge duplicate audit for simulation caches
“Before I merge these two simulation cache exports, can you check the primary dataset for any duplicate row IDs and also compare it row-by-row against the secondary dataset to flag where cache_gb or simulation_seconds don't match? Here are both datasets with fields row_id, asset_group, date, cache_gb, and simulation_seconds.”
Reconciling simulation cache snapshots across runs
“I have yesterday's and today's simulation cache snapshots — each with up to 150 rows including row_id, asset_group, date, cache_gb, and simulation_seconds — can you find any duplicate keys in yesterday's data and highlight which rows changed between the two snapshots?”
Quality check on asset group cache data
“Can you audit my simulation cache table for duplicate row_id entries and then compare it against our reference dataset to see which asset groups have different cache_gb or simulation_seconds values? Both datasets have row_id, asset_group, date, cache_gb, and simulation_seconds fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have simulation cache tabular data (cache_gb, simulation_seconds fields) and need both a duplicate key audit and a side-by-side keyed comparison of two datasets in a single $0.01 call. It is ideal for data quality checks, pre-merge reconciliation, or snapshot diffing of simulation cache records with up to 200 rows, without needing any external lookup or live data source.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) causes validation error
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range cause validation failure
- Empty rows array causes error
- No live external data — results are purely based on supplied input rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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