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Market Survey Observations — Adjacent Row Changes + Two-Measure Correlation
x402
Market Survey Observations — Adjacent Row Changes + Two-Measure Correlation 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 changes and two-measure correlation for market survey observation data (respondent_count and sample_weight) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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 independent statistical reports: (1) an adjacent row changes report showing how the selected measure (respondent_count or sample_weight) shifts from one row to the next, and (2) a two-measure correlation report quantifying the relationship between respondent_count and sample_weight across the supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Tracking survey response shifts over time
“I have daily market survey data for group-a and group-b across October, with respondent counts and sample weights for each day. Can you compute adjacent row changes and the correlation between respondent_count and sample_weight across all rows?”
Comparing survey panel consistency across groups
“We ran a brand-tracking survey across multiple company groups and dates. Can you analyze row-to-row changes in sample_weight and show how it correlates with respondent_count across the full dataset?”
Auditing survey weighting against response volume
“I want to check whether our survey sample weights are moving in sync with respondent counts. Can you run the adjacent row changes and two-measure correlation reports on my 150-row survey dataset using the respondent_count field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of market survey panel data with respondent counts and sample weights, and need both a sequential row-difference analysis and a cross-measure correlation in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes over survey exports where no live data lookup, prediction, or external integration is needed.
Side effects
- Missing required fields (row_id, date, company_group) causes validation error
- More than 200 rows submitted — request rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Both measure values null for all rows — correlation computation may be undefined
- Single-row input — adjacent row changes report produces no deltas
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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