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Simulation Caches — String Normalisation + Keyed Dataset Comparison
x402
Simulation Caches — String Normalisation + 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 2026-10-22).
Normalises strings and performs keyed comparison between two supplied simulation cache datasets (cache_gb, simulation_seconds) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — String normalisation + Keyed dataset comparison: String normalisation + 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 2 analytical reports: (1) a string normalisation report covering asset_group label standardisation, and (2) a keyed dataset comparison report showing row-by-row differences in cache_gb and simulation_seconds between the two supplied datasets, keyed by row_id. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Detecting cache size drift between simulation runs
“I have two simulation cache snapshots from last week and this week — same row IDs and asset groups but the cache_gb numbers have changed. Can you normalise the asset group strings and do a keyed comparison to show me exactly which rows drifted and by how much?”
Validating simulation timing consistency across environments
“We ran the same simulation on two different environments and got two datasets with simulation_seconds and cache_gb per asset group. Run a keyed comparison on them by row_id so I can see where the timing or cache usage diverged.”
Auditing asset group label normalisation before reporting
“Before I merge these two simulation cache CSV exports, can you normalise the asset_group strings across both datasets and then do a keyed comparison to flag any rows where cache_gb or simulation_seconds don't match?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare two simulation cache datasets keyed by row_id and also want string normalisation applied to asset group labels in the same operation, all for a flat $0.01 USDC fee for up to 200 rows. Prefer it over generic diff tools when your data specifically includes cache_gb and simulation_seconds fields and you want structured analytical reports rather than raw diffs.
Side effects
- Exceeding 200 rows per dataset returns a validation error
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) causes rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
- Empty rows array returns an error
- Payment failure via x402 prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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