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Discussion Response Data Quality Audit — Record Quality, String Normalisation & Numeric Row Ordering
x402
Discussion Response Data Quality Audit — Record Quality, String Normalisation & 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).
Audits discussion response records (response_count, response_minutes) for data quality, normalises strings, and orders rows numerically — producing 3 independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Discussion response — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied discussion response records (response_count, response_minutes). 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 covering: (1) a record quality audit flagging data issues in the supplied rows, (2) string normalisation results for text fields like channel_group, and (3) a numerically ordered version of the rows sorted by the chosen field (response_count or response_minutes). All computed locally without external lookups or predictions.
Example use cases
QA check on forum response metrics
“I have a batch of 50 discussion response records with channel_group, date, response_count, and response_minutes columns — can you audit them for quality issues, normalise any inconsistent string fields, and order them by response_count?”
Clean up customer support channel data
“Before I load this into my dashboard, can you run a quality audit and string normalisation on these 120 support channel response records, and sort the rows numerically by response_minutes?”
Weekly data validation for response datasets
“Every week I get a CSV of discussion response data with up to 200 rows — can you validate record quality, clean up the string fields, and produce a numerically ordered version sorted by response_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-07-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) data quality pass on discussion response records — specifically when you want record auditing, string normalisation, AND numeric ordering in a single call without setting up your own data pipeline. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analytical processing without any external API lookups or ML predictions.
Side effects
- More than 200 rows submitted — batch will be rejected or truncated
- Missing required fields (row_id, channel_group, date, response_count, response_minutes) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) may cause errors
- Invalid field selector enum value (not response_count or response_minutes) will cause a request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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