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Data Reconciliation — String Normalisation + Duplicate Key Report
x402
Data Reconciliation — String Normalisation + 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 2026-10-19).
Normalises strings and identifies duplicate keys across up to 200 data reconciliation rows (source_total vs target_total), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied data reconciliation records (source_total, target_total). 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 two independent reports: (1) a string normalisation report highlighting inconsistently formatted or non-normalised string values across the supplied rows, and (2) a duplicate key report identifying any row_id or dataset_group combinations that appear more than once within the supplied data. Both reports are computed locally from the supplied rows with no external lookups.
Example use cases
Financial ledger reconciliation deduplication
“I have a set of 50 ledger reconciliation rows with source and target totals across several dataset groups — can you run a duplicate key check and string normalisation report to find any duplicated row IDs or inconsistently formatted strings?”
ETL pipeline data quality audit
“After our nightly ETL run I've got 120 rows of source vs target totals across groups like 'payments' and 'refunds' — please run the string normalisation and duplicate key reports so I can catch any data quality issues before we load to the warehouse.”
Multi-source dataset group comparison
“We've merged data from two systems into 80 reconciliation records with row IDs, dates, and source/target totals — can you produce a string normalisation report and a duplicate key report so we know which rows have duplicate keys or messy string values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, supplied-data-only string normalisation and duplicate key detection for reconciliation records (up to 200 rows) at minimal cost ($0.01 USDC for both reports). It is ideal when you do not need live data lookups, external enrichment, or predictive analytics — just fast, deterministic deduplication and string normalisation from data you already have.
Side effects
- Exceeds 200 row limit — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — row-level validation failure
- Date field not matching YYYY-MM-DD pattern — schema validation error
- source_total or target_total outside allowed range (±1,000,000,000,000) — validation rejection
- Empty rows array (minItems:1 violation) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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