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Market Survey Observations — Adjacent Row Changes + Base-100 Series
x402
Market Survey Observations — Adjacent Row Changes + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes adjacent row changes and Base-100 rebase series for market survey observation data (respondent_count or sample_weight) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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
Two analytical reports: (1) an adjacent row changes report showing period-over-period differences in the selected field (respondent_count or sample_weight) for each row, and (2) a Base-100 index series where the selected base row is set to 100 and all other values are expressed relative to it. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Tracking survey response trends over time
“I've got weekly survey respondent counts for two company groups over the past 8 weeks — can you show me the week-over-week changes and a Base-100 series starting from the first week for the respondent_count field?”
Sample weight drift analysis across groups
“Here are 20 rows of market survey data with sample weights for group-a and group-b — please compute the adjacent row changes and Base-100 rebase series for the sample_weight field, using row 0 as the base index.”
Benchmarking survey reach growth
“I need to index our survey reach data — here are 50 rows of respondent counts across multiple company groups by date. Give me both the row-to-row changes and a Base-100 series for respondent_count so I can benchmark growth from our starting point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both adjacent row change analysis and Base-100 indexing for market survey data (respondent_count or sample_weight) in a single low-cost call. Ideal when your data is already structured with row_id, company_group, and date fields and you want two complementary statistical views without building your own analytics. Best for datasets up to 200 rows where no live data retrieval, prediction, or external enrichment is needed.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows supplied exceeds the maximum and is rejected
- Invalid date format (not YYYY-MM-DD) causes validation failure
- base_index value outside the range of supplied rows causes an error
- Null values in the selected field may produce null or undefined change values
- Invalid field enum value (not respondent_count or sample_weight) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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