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Discussion Response Quality Audit + Secondary-Measure Weighted Mean
x402
Discussion Response Quality Audit + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs two analytical reports on discussion response data: a record quality audit and a secondary-measure weighted mean, for up to 200 rows of response_count/response_minutes data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Discussion response — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied discussion response records (response_count, response_minutes). 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: (1) a record quality audit flagging issues such as nulls, duplicates, or anomalies across the supplied rows, and (2) a secondary-measure weighted mean computed over the selected field (response_count or response_minutes), grouped by the available dimensions. Both reports are computed locally with no external lookups.
Example use cases
Channel group response data quality check
“I have a week's worth of discussion response records across three channel groups with response_count and response_minutes — can you audit them for quality issues and also give me the weighted mean of response_minutes?”
Weighted average of response time across dates
“Here are 50 rows of discussion response data by date and channel group. I want a weighted mean of response_minutes using response_count as the weight, plus a quality audit to flag any bad records.”
Pre-reporting data validation for response metrics
“Before I roll these discussion response numbers into my monthly report, can you run a quality audit on all 120 rows and compute the secondary-measure weighted mean for response_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-07-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality check and a weighted mean computation on discussion response metrics (response_count, response_minutes) in a single low-cost call. It is ideal for pre-reporting validation pipelines or exploratory audits where you have up to 200 rows of channel-grouped, date-stamped response data and want two analytical outputs without external API dependencies.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, channel_group) cause row rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- All-null values for the selected measure may produce undefined weighted mean
- Numeric values outside ±1,000,000,000,000 are rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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