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Simulation Caches — Exact Row Deduplication + Date by Category Pivot
x402
Simulation Caches — Exact Row Deduplication + Date by Category Pivot 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).
Deduplicates simulation cache records by exact row match and produces a date-by-category pivot table for cache_gb or simulation_seconds metrics, across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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 reports: (1) a deduplicated set of the supplied simulation cache rows with exact duplicate records removed, and (2) a pivot table showing either cache_gb or simulation_seconds values organized by date (rows) and asset_group (columns), computed entirely from the supplied data with no external lookups.
Example use cases
Cache usage deduplication audit
“I've got a list of simulation cache records with row_id, asset_group, date, cache_gb, and simulation_seconds — some rows are exact duplicates. Can you deduplicate them and also give me a pivot of cache_gb broken down by date and asset group?”
Simulation time pivot by group
“Here are my simulation records across groups A and B over the past month. Can you remove any exact duplicate rows and then pivot the simulation_seconds values by date and asset_group so I can see the breakdown clearly?”
Cache growth trend by category
“I need to understand how cache_gb is distributed across my asset groups over time. Can you take these 120 simulation cache rows, deduplicate them, and show me a date-by-category pivot for cache_gb?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw simulation cache records (with cache_gb and simulation_seconds metrics) that need exact duplicate removal combined with a date-by-category pivot in a single low-cost call. Ideal for data engineering pipelines, cache auditing, or reporting workflows where you supply the data and want two analytical reports — deduplication and pivot — without needing live data lookups or predictions. Best suited for datasets up to 200 rows priced at $0.01 USDC per call.
Side effects
- Rows exceeding 200 items will be rejected (maxItems constraint)
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null values for cache_gb or simulation_seconds are allowed but may produce sparse pivot cells
- Invalid field enum value (must be 'cache_gb' or 'simulation_seconds') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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