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Inventory Counts Keyed Dataset Comparison
x402
Inventory Counts 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 2026-10-19).
Compares two sets of inventory count records (book units vs. counted units per warehouse and date) by row ID, computing numeric differences and data-quality metrics between the two datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory counts - Keyed dataset comparison: Keyed dataset comparison for Inventory counts. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded keyed dataset comparison deliverable.
Output
A keyed comparison deliverable that matches records from both input datasets by row_id and returns numeric differences between book_units and counted_units across the two datasets, along with data-quality indicators such as missing values, unmatched keys, and summary statistics on variance.
Example use cases
Post-audit inventory variance report
“I have two inventory datasets from our Q4 physical count audit — the original book records and the auditors' counted figures, each tagged by row ID, warehouse, and date. Can you compare them and show me where the book_units and counted_units diverge between the two snapshots?”
Cycle count discrepancy detection
“Run a keyed comparison on these two cycle count exports from warehouse group-a and group-b dated 2026-10-01 through 2026-10-04 — I need to see which row IDs have different book or counted unit values between the two files and flag any data quality problems.”
Dual-system inventory reconciliation
“We pull inventory counts from two different warehouse management systems and I need to reconcile them — here are up to 200 rows from each system with matching row IDs, warehouse names, dates, book_units, and counted_units. Compare them and tell me which records don't align.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-inventory-counts-compare?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, local numeric comparison of two bounded inventory count datasets (up to 200 rows each) keyed by row_id, with no need for external enrichment, forecasting, or large-scale batch processing. It is ideal for reconciliation tasks, audit variance checks, and data-quality validation on structured warehouse count exports.
Side effects
- Missing required fields (row_id, warehouse, date, book_units, or counted_units) cause validation errors
- Date values not matching pattern YYYY-MM-DD are rejected
- Submitting more than 200 rows in either array exceeds the maxItems limit
- Empty primary rows array (minItems:1) causes rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Payment failure (insufficient USDC balance) blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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