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Market Survey Observations — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Market Survey Observations — Adjacent Row Changes + 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 2026-10-15).
Computes adjacent row-to-row changes and a sample-weight-based weighted mean for up to 200 market survey observation records in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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) adjacent row-to-row changes for the selected field (respondent_count or sample_weight) across the supplied rows, and (2) a weighted mean of the selected field using the secondary measure (sample_weight) as weights — all computed locally on the supplied data without any external lookup.
Example use cases
Survey panel trend shift analysis
“I've got weekly market survey data across two company groups — 50 rows total, each with a date, respondent_count, and sample_weight. Can you calculate how respondent counts change between consecutive rows and also give me the sample-weight weighted mean for respondent_count?”
Weighted mean for sample-weighted audience data
“I have 120 rows of survey observations from different respondent groups, each with a sample_weight and respondent_count. Can you run the secondary-measure weighted mean calculation on the respondent_count field using those sample weights?”
Adjacent row delta report for competitor group tracking
“We track two company groups across 30 survey dates — each row has a row_id, company_group, date, respondent_count, and sample_weight. Please compute both the adjacent row changes and the weighted mean for sample_weight across all those rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a row-over-row change series and a weighted mean computed together in a single paid call on market survey data with respondent counts and sample weights. It is ideal for offline/batch analytical tasks on supplied data (no external data fetched), and is cost-effective at $0.01 for two reports covering up to 200 rows.
Side effects
- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, date, company_group) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes rejection
- Null values in the selected field may affect weighted mean calculation
- Values outside the allowed numeric range trigger schema validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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