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Market Survey Observations — Two-Measure Correlation + Keyed Dataset Comparison
x402
Market Survey Observations — Two-Measure Correlation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs two statistical reports on market survey observation data: a Pearson correlation between respondent_count and sample_weight, plus a keyed comparison across two supplied datasets, for up to 200 rows per dataset.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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) a two-measure correlation report showing the statistical relationship between respondent_count and sample_weight across the supplied rows, and (2) a keyed dataset comparison report matching records from the primary and secondary datasets by row_id and highlighting differences in the measured values. All computation is performed locally on the supplied data with no external lookups.
Example use cases
Survey panel weighting consistency check
“I have market survey data from two waves — same respondents, same groups — and I want to know if respondent count correlates with sample weight, and whether the two waves differ when matched by row key. Primary wave has group-a: 50 respondents, weight 1.5 on 2026-01-10, and group-b: 80 respondents, weight 2.0 on 2026-01-10; comparison wave has the same keys but 55 and 78 respondents. Can you run the two-measure correlation and keyed comparison?”
Cross-company survey response analysis
“We ran a market survey across four company groups and I need to see if sample_weight and respondent_count are correlated, plus compare our Q1 and Q2 datasets row by row. Q1 rows: group-a 2026-01-01 count=100 weight=1.2, group-b 2026-01-01 count=150 weight=1.8. Q2 rows: same keys, count=110 and 145, weight=1.3 and 1.7. Run both the correlation report and the keyed dataset comparison.”
Brand tracking survey audit
“I'm auditing two batches of brand tracking survey data — one from last month and one from this month — and I need a correlation between respondent_count and sample_weight plus a side-by-side comparison of the two batches matched by row ID. Last month: row-1 group-alpha 2026-09-01 count=200 weight=3.5, row-2 group-beta 2026-09-01 count=180 weight=3.0. This month: same row IDs, count=210 and 175, weight=3.6 and 2.9.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured market survey data with respondent_count and sample_weight fields and need both a correlation analysis between those two measures AND a keyed record-level comparison between two datasets in a single API call. It is ideal for survey analysts who want to audit panel weighting, compare survey waves, or validate consistency across company groups without building a local analytics pipeline. It is not suitable for live data fetching, prediction, forecasting, or any external data enrichment.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, company_group, date, respondent_count, sample_weight) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- All numeric values null — correlation report cannot be computed
- Mismatched row_ids between datasets — keyed comparison may yield empty matches
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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