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Market Survey Observations — Category Frequencies + IQR Outlier Flags
x402
Market Survey Observations — Category Frequencies + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes category frequencies and IQR-based outlier flags for market survey observation records, covering respondent_count or sample_weight fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags for supplied market survey observations records (respondent_count, sample_weight). 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 analytical reports: (1) category frequency counts showing how often each company_group value appears in the dataset, and (2) IQR-based outlier flags identifying which rows have respondent_count or sample_weight values that fall outside the interquartile range bounds. Up to 200 rows processed per call.
Example use cases
Survey panel quality audit
“I have 150 rows of market survey responses from our Q3 study across three company groups — can you compute how frequently each group appears and flag any rows where respondent_count looks like an IQR outlier?”
Sample weight anomaly detection
“Run category frequency counts and IQR outlier detection on the sample_weight field for these 80 survey observation records — I need to know which weights are statistically unusual before we weight the final results.”
Pre-reporting data validation
“Before I publish these market survey results, check the respondent_count field across all 200 rows: give me a breakdown of how often each company_group shows up and highlight any outlier rows using IQR bounds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both category frequency analysis and IQR outlier detection simultaneously on market survey observation data with company_group segmentation, and your dataset fits within 200 rows. It delivers two complementary statistical reports in a single $0.01 call using local computation with no external data access, making it ideal for fast, cost-effective pre-analysis or data quality checks on survey exports.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, respondent_count, sample_weight) cause rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in numeric fields may affect IQR calculations
- Invalid field selector (not 'respondent_count' or 'sample_weight') returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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