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Market Survey Observations — Adjacent Row Changes + Equal-Width Histogram
x402
Market Survey Observations — Adjacent Row Changes + Equal-Width Histogram 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 an equal-width histogram for market survey observation fields (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 + Equal-width histogram: Adjacent row changes + Equal-width histogram 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 changes showing the delta in the selected field between consecutive survey rows, and (2) an equal-width histogram partitioning the selected field values into the specified number of bins with counts per bin. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Tracking weekly respondent count shifts
“I have 50 weekly market survey rows from different company groups with respondent_count values — can you compute the adjacent row changes and a 10-bin histogram for respondent_count so I can see how participation shifted week over week?”
Distributing sample weights across bins
“Run an equal-width histogram with 8 bins and adjacent row changes on my survey dataset for the sample_weight field — I've got about 120 rows tagged by company group and date ranging across Q3 2025.”
Comparing survey coverage across groups
“I want to analyze my market survey observations for two company groups — give me both the row-over-row changes and a 5-bin histogram for respondent_count across my 30 survey entries dated from January to March 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary statistical views — sequential change detection and distribution bucketing — on market survey observation data (respondent counts or sample weights) in a single API call. It is ideal for survey analysts who want both temporal delta analysis and frequency distribution without running separate queries. Best suited for datasets up to 200 rows where local, stateless computation on supplied data is sufficient and no external data enrichment or forecasting is needed.
Side effects
- More than 200 rows submitted — request will be rejected
- Invalid date format (non-YYYY-MM-DD) causes validation error
- Field value not in enum ['respondent_count','sample_weight'] causes rejection
- Bin count outside 1–30 range causes validation error
- Null values in the selected field may affect histogram binning
- Missing required row fields (row_id, date) cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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