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Legal Document Inventories — Record Quality Audit, Exact Deduplication & Numeric Row Ordering
x402
Legal Document Inventories — Record Quality Audit, Exact Deduplication & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs three local analytical reports on legal document inventory data: record quality audit, exact row deduplication, and numeric row ordering for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Legal document inventories — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied legal document inventories records (document_count, reviewed_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports returned together: (1) a record quality audit flagging issues like nulls, out-of-range values, or malformed fields in document_count and reviewed_count; (2) an exact row deduplication report identifying and removing identical rows; (3) a numerically ordered version of the rows ranked by the selected field (document_count or reviewed_count). No external lookups or predictions are made — all analysis is local.
Example use cases
Pre-reporting data cleanup for legal team
“Before I send this month's document inventory report to the partners, can you audit these records for quality issues, remove any exact duplicate rows, and sort everything by document_count? I have about 50 rows with document_group, date, document_count, and reviewed_count fields.”
Identifying duplicate entries in case tracking
“Our paralegals have been entering document counts manually and I think there are duplicates in this dataset. Can you run an exact deduplication report on these 80 legal document inventory rows and also give me a quality audit so I know which records are problematic?”
Ranking document groups by review progress
“I want to see which of our document groups have the highest reviewed_count so we can prioritize follow-up. Can you order these legal inventory records numerically by reviewed_count and also run a quality audit on the 120 rows I'm sending?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-10-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have legal document inventory data (with document_count and reviewed_count fields) that needs simultaneous quality auditing, deduplication, and numeric ordering — all in one $0.01 call. Ideal for pre-reporting cleanup, catching manual data entry errors, or preparing inventory data for downstream analysis. Not suitable for live lookups, AI-generated assessments, or datasets exceeding 200 rows.
Side effects
- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required fields (row_id, document_group, date, document_count, reviewed_count) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Invalid field enum value (anything other than document_count or reviewed_count) causes an error
- Empty rows array (minItems:1 not met) returns a validation error
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) may cause errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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