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Bibliography Inventories — String Normalisation + Adjacent Row Changes
x402
Bibliography Inventories — String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs two local analytical reports (string normalisation and adjacent row changes) on up to 200 bibliography inventory rows containing reference_count and verified_references fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Bibliography inventories — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes for supplied bibliography inventories records (reference_count, verified_references). 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
Two independent analytical reports: (1) a string normalisation report highlighting formatting inconsistencies or non-standard values in the selected field across the supplied rows, and (2) an adjacent row changes report showing value differences between consecutive rows for the selected numeric field (reference_count or verified_references). Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Audit reference count drift over time
“I have a set of bibliography records for two course groups across several dates and I want to see how reference_count changes from one row to the next — can you run the adjacent row changes report on this dataset for me?”
Normalize string formatting in verified references
“My bibliography inventory has messy string data in the verified_references column across about 150 rows — can you run a string normalisation report to clean and standardize it?”
Dual report on course group bibliography data
“I need both a string normalisation check and an adjacent row changes analysis on my bibliography inventory records for the course groups I track — here are 80 rows with dates, reference counts, and verified references, please run both reports on reference_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-08-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 bibliography inventory rows and need both string normalisation and adjacent row change detection in a single low-cost call ($0.01 USDC). It is ideal for educational data pipelines where reference counts and verified references need sequential consistency checks and formatting audits without any external data lookups or live predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, course_group, date, reference_count, verified_references) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array is not accepted (minItems: 1)
- Payment of 0.01 USDC not supplied or declined results in 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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