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Data Freshness — String Normalisation + Exact Row Deduplication
x402
Data Freshness — String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Normalises strings and deduplicates rows in supplied data freshness records (age_minutes, record_count) using local analytical engines, producing 2 independent reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data freshness — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied data freshness records (age_minutes, record_count). 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: one covering string normalisation results (standardised string fields across the input rows) and one covering exact row deduplication (identifying and removing duplicate rows), applied to up to 200 supplied data freshness records containing age_minutes and record_count fields.
Example use cases
Pipeline freshness audit deduplication
“I have a list of data freshness entries from our ETL pipeline — about 80 rows with dataset_group, date, age_minutes, and record_count fields — can you normalise the strings and strip out any exact duplicate rows, then give me both reports?”
Dataset group record cleanup
“We've collected freshness metrics across several dataset groups and I suspect there are duplicate rows and inconsistent string casing. Can you run string normalisation and exact row deduplication on these 120 records and return the two analytical reports?”
Data quality check before ingestion
“Before I ingest these 40 freshness monitoring rows into our warehouse, can you normalise the string columns and deduplicate any identical rows? I need both the normalisation and deduplication reports so I know what was cleaned.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-06-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and exact row deduplication on data freshness records (age_minutes, record_count) without any external lookups, predictions, or live data access. It is ideal for pre-ingestion data cleaning, auditing ETL pipeline freshness logs, or standardising dataset group labels at low cost ($0.01 USDC for 2 reports, up to 200 rows). Not suitable for fuzzy deduplication, ML-based anomaly detection, or live data freshness monitoring.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, age_minutes, record_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Payment not included or insufficient (requires 0.01 USDC via x402) — payment error
- Null values for age_minutes or record_count may affect deduplication logic
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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