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Market Survey Observations — Base-100 Series + Keyed Dataset Comparison
x402
Market Survey Observations — Base-100 Series + 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 2026-10-15).
Runs two analytical reports (Base-100 indexed time series and keyed dataset comparison) on supplied market survey observation data for respondent_count or sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Base-100 series + Keyed dataset comparison: Base-100 series + 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 for the supplied market survey data: (1) a Base-100 indexed time series showing how the selected metric (respondent_count or sample_weight) trends relative to a baseline across dates and company groups, and (2) a keyed dataset comparison that aligns rows from the primary and secondary datasets by key to highlight differences in the selected metric. All computation is performed locally on the submitted data with no external lookups.
Example use cases
Tracking survey panel size trends
“I have two waves of market survey data — up to 150 rows each — with respondent_count, sample_weight, company_group, and date. Can you index the respondent_count to a Base-100 series and also run a keyed comparison between the two waves to see how panel sizes shifted?”
Comparing weighted samples across company groups
“Run a Base-100 index plus keyed dataset comparison on my market survey records, using the sample_weight field. I've got two datasets of around 80 rows each, grouped by company_group with dates in YYYY-MM-DD format, and I want to see where the two differ.”
Benchmarking survey response rates over time
“I need to benchmark our survey response data against last quarter's — both datasets have about 120 rows with respondent_count, sample_weight, company_group, and date columns. Can you generate a Base-100 indexed trend and a keyed comparison using respondent_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously produce a Base-100 indexed time series AND a keyed dataset comparison for market survey observations (respondent_count or sample_weight) from two supplied datasets of up to 200 rows each, without requiring any external data lookup or live data fetch. It is especially useful when comparing two survey waves or panels by company group over time. Not suitable for real-time data, predictions, or datasets exceeding 200 rows.
Side effects
- Exceeds 200-row limit for either dataset — request rejected
- Missing required fields (row_id, company_group, date, respondent_count, sample_weight) — validation error
- Invalid date format (non-YYYY-MM-DD) — schema validation failure
- Field selector not one of 'respondent_count' or 'sample_weight' — enum validation error
- Null values in selected metric field may produce incomplete index calculations
- Mismatched row_ids between primary and other dataset reduce keyed comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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