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Market Survey Observations — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Market Survey Observations — Record Quality Audit + String Normalisation + Daily Sum Series 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).
Runs three local analytical reports on market survey observation rows: a record quality audit, string normalisation, and a daily sum series for respondent_count or sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied market survey observations records (respondent_count, sample_weight). 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 reports returned together: (1) a record quality audit flagging issues per row, (2) normalised string values for string fields, and (3) a daily sum series for the selected numeric field (respondent_count or sample_weight), all computed locally from the supplied rows without external lookups.
Example use cases
Survey data quality check before reporting
“I have up to 150 rows of market survey observations with respondent_count, sample_weight, company_group, and date — can you run a full quality audit on them and flag any bad records before I hand them off to the analyst team?”
Daily respondent totals by group
“Take these market survey observation records grouped by company and date and give me a daily sum series for the respondent_count field so I can see how total respondents accumulate day by day.”
Normalise messy company group strings in survey export
“My market survey export has inconsistent company_group labels across rows — can you run string normalisation on the data so the group names are cleaned up and standardised?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 market survey observation rows and need all three analytical reports (quality audit, string normalisation, daily sum series) in a single low-cost call. It is purely local computation with no external lookups or predictions, making it deterministic and fast. Prefer it over separate per-report endpoints when you want a bundled 3-in-1 analysis at $0.01 USDC.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, company_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern mismatch
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Invalid field enum value (not respondent_count or sample_weight) causes error
- Empty rows array rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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