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Market Survey Observations — Base-100 Series & Two-Measure Correlation
x402
Market Survey Observations — Base-100 Series & 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 a Base-100 index series and a two-measure correlation report for uploaded market survey observation rows containing respondent count and sample weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Base-100 series + Two-measure correlation: Base-100 series + 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 analytical reports: (1) a Base-100 index series normalizing the chosen field (respondent_count or sample_weight) relative to the specified base row, and (2) a correlation report measuring the linear relationship between respondent_count and sample_weight across all supplied rows. Results are computed entirely from the uploaded data using local analytical engines with no external lookups.
Example use cases
Rebasing quarterly brand-tracker survey waves
“I have 50 rows of brand-tracker survey results by company group and date — respondent counts and sample weights per wave — can you rebase the respondent_count series to 100 starting from the first row and also show me how correlated respondent counts are with sample weights across those waves?”
Comparing two survey panels across date ranges
“We ran a market survey across two panels (group-alpha and group-beta) over 120 dates — I've got respondent_count and sample_weight for each row — please compute a Base-100 index on sample_weight from row 0 and give me the two-measure correlation report as well.”
Validating consistency of survey weighting scheme
“Can you check whether our respondent_count and sample_weight fields move consistently together across our 80-row survey dataset? I want the correlation report plus a Base-100 series on respondent_count anchored to row index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of market survey data with respondent_count and sample_weight columns and need both a Base-100 rebased index series and a pairwise correlation report in a single low-cost call. Ideal for survey analysts who need to normalize time-series survey data to a common baseline while simultaneously checking the linear relationship between two survey measures, without relying on external data sources or prediction services.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (≥ number of rows) — computation error
- Null values in both measure fields for all rows — correlation undefined
- Missing required fields (row_id, date) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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