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Record Routing Quality Audit, String Normalisation & Missing-Value Fill
x402
Record Routing Quality Audit, String Normalisation & Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Audits record routing data quality, normalises strings, and fills missing values for accepted_records and rejected_records fields across up to 200 rows in three independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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
Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging data issues, (2) a string normalisation report cleaning text fields, and (3) a missing-value fill report substituting nulls in the chosen field using the specified method (zero, mean, or median). Covers up to 200 rows per call with no external lookups.
Example use cases
Pipeline health check before ingestion
“I have a batch of 120 record routing rows with dates, dataset groups, and accepted/rejected record counts — can you audit their quality, normalise any string fields, and fill any missing accepted_records values using mean imputation before I ingest them?”
Null-value remediation for rejected records
“Several rows in my routing dataset have null values in rejected_records. Can you run the missing-value fill using zero replacement on up to 200 rows, along with the quality audit and string normalisation reports?”
Data quality review for weekly routing report
“I'm preparing a weekly routing report and need to check data quality on 80 rows across two dataset groups — please run all three reports (quality audit, string normalisation, missing-value fill using median) targeting the rejected_records field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-208?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of record routing rows (up to 200) and need simultaneous quality auditing, string normalisation, and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for pre-ingestion data cleaning workflows where no live lookup, prediction, or external enrichment is required — all analysis is performed locally against your supplied data.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, dataset_group) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid fill method or field enum value — bad request error
- Payment not settled via x402 — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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