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Market Survey Observations — Category Frequencies & Keyed Dataset Comparison
x402
Market Survey Observations — Category Frequencies & 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).
Analyzes up to 200 market survey observation records to produce two reports: category frequency distributions and a keyed comparison between two datasets, using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Category frequencies + Keyed dataset comparison: Category frequencies + 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 generated from supplied data using local engines: (1) a category frequencies report showing how often each company_group category appears along with aggregated respondent_count and sample_weight figures, and (2) a keyed dataset comparison report that aligns rows from the primary and secondary datasets by key and highlights differences in respondent_count and sample_weight values. No external data sources or live lookups are used.
Example use cases
Monthly survey wave comparison
“I have two monthly waves of our brand tracker survey — here are up to 200 rows from March and April, each with a company_group, date, respondent_count, and sample_weight. Can you calculate the category frequencies for each group and show me a keyed comparison of how the two waves differ?”
Weighted response distribution by segment
“Run a category frequency report on my market survey data — I've got 150 rows split across four company groups with different sample weights per respondent batch. I also want a keyed comparison against last quarter's data to see which segments shifted.”
A/B survey panel analysis
“I ran the same survey with two different panels — panel A and panel B — each with about 80 rows tagged by company_group and date. Can you compute the frequency breakdown for each category and compare the two panel datasets row-by-row to flag where respondent counts diverge?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — category frequency distributions and keyed dataset comparison — on market survey observation data with up to 200 rows, without needing real-time lookups, predictions, or external data enrichment. It is ideal for offline batch analysis of survey data where cost efficiency matters ($0.01 USDC for both reports). Prefer it over general-purpose analytics when your data specifically includes respondent_count and sample_weight fields organized by company_group and date.
Side effects
- Input arrays exceed 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, respondent_count, sample_weight) cause validation errors
- Date fields not matching YYYY-MM-DD pattern cause schema validation failure
- row_id values exceeding 80 characters are rejected
- Null numeric values for respondent_count or sample_weight may affect aggregation outputs
- Empty rows array (minItems: 1 not met) causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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