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Market Survey Observations — Category Frequencies + Base-100 Series
x402
Market Survey Observations — Category Frequencies + 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 category frequency distributions and a base-100 index series from supplied market survey observation rows (respondent_count or sample_weight field), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Category frequencies + Base-100 series: Category frequencies + 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) category frequency counts showing how often each company_group appears across the supplied rows weighted by the chosen field, and (2) a base-100 index series for the chosen field (respondent_count or sample_weight) normalized relative to the specified base_index row. Both reports cover up to 200 supplied observation rows and are computed locally without external lookups.
Example use cases
Benchmarking survey responses over time
“I have 50 weekly survey observations across two market segments with respondent counts and sample weights. Can you generate category frequencies and a base-100 series using respondent_count, indexed to row 0, so I can see how each segment's share has changed relative to the first week?”
Weighted sample analysis by company group
“Here are 120 survey rows with company groups and sample weights collected over the past quarter. Can you run both the category frequency report and the base-100 index series on the sample_weight field, starting the index at row 0?”
Comparing group participation frequencies
“I've got market survey observations from four company groups across 80 dates. Can you compute how frequently each group appears in the data and generate a base-100 index series on respondent_count starting from the 10th row so I can compare participation trends?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected market survey observation rows (up to 200) and need two specific statistical outputs — category frequency distributions by company group and a base-100 normalized index series — computed from either respondent_count or sample_weight. It is ideal for offline, batch-style analytical jobs on owned data where no live lookup, prediction, or external enrichment is needed. Prefer it over general-purpose analytics APIs when you want a low-cost ($0.01 USDC), deterministic, dual-report result in a single call.
Side effects
- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (>= number of rows supplied) — computation error
- field value not in enum [respondent_count, sample_weight] — schema validation error
- null values in respondent_count or sample_weight may produce incomplete series
- Payment not included or insufficient USDC — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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