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Library Circulation Duplicate Key Report
x402
Library Circulation Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Identifies duplicate row keys in a batch of library circulation records (checkouts and renewals by branch and date)
Price / call$0.01
Success—
StatusUnknown
How this service works
Library circulation - Duplicate key report: Duplicate key report for Library circulation. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded duplicate key report report.
Output
A bounded duplicate key report listing any row_id values that appear more than once within the supplied batch of up to 200 library circulation records, enabling local data quality validation without enrichment or forecasting.
Example use cases
Data quality audit before reporting
“Before I submit the monthly circulation report, can you check these 150 library records for any duplicate row IDs? Each row has a branch, date, checkout count, and renewal count — I need to know if any row_id appears more than once.”
Detecting import errors in branch data
“We just imported circulation data from three branches and I think there might be duplicate entries. Can you run a duplicate key check on these records? I'll give you the row_id, branch, date, checkouts, and renewals for each row.”
Validating merged circulation datasets
“I merged two library systems' checkout data together — can you scan these records and flag any duplicate row keys so I can clean up the dataset before loading it into our system?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-library-circulation-key-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) duplicate key check on a small-to-medium batch of library circulation records (up to 200 rows). It is ideal for pre-validation before importing or reporting circulation data, where you want to catch repeated row IDs across branches and dates without needing enrichment, forecasting, or external data lookups.
Side effects
- Missing required fields (row_id, branch, date, checkouts, renewals) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Empty rows array (minItems: 1) returns an error
- Non-numeric values for checkouts or renewals where numbers are expected cause type errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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