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Simulation Caches — Duplicate Key Report + Category Frequencies
x402
Simulation Caches — Duplicate Key Report + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Analyzes supplied simulation cache records to produce a duplicate key report and category frequency distribution across asset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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 repeated row_id values across the supplied records, and (2) a category frequency table showing how often each asset_group value appears in the dataset. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Detecting duplicate cache entries
“I have a list of simulation cache records with row IDs, dates, asset groups, cache sizes in GB, and simulation seconds — can you run a duplicate key report on them to find any repeated row IDs?”
Asset group frequency breakdown
“I want to know how many simulation cache records fall into each asset group category. Here are my rows with asset_group, cache_gb, and simulation_seconds fields — can you give me the frequency counts?”
Data quality audit before pipeline run
“Before I feed these 120 simulation cache rows into my pipeline, can you check them for duplicate keys and show me the category frequencies by asset group so I can spot any data quality issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records and need both a duplicate key detection report and category frequency counts in a single low-cost call ($0.01 USDC). It is ideal for data quality checks on simulation datasets with cache_gb and simulation_seconds metrics, where no external data enrichment or live lookup is needed.
Side effects
- Empty rows array returns an error (minItems: 1 required)
- Rows exceeding 200 items are rejected (maxItems: 200)
- Malformed date strings not matching YYYY-MM-DD pattern cause validation failure
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause schema validation errors
- row_id exceeding 80 characters is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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