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Market Survey Observations — String Normalisation + Numeric Row Ordering
x402
Market Survey Observations — String Normalisation + Numeric Row Ordering 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).
Normalises string fields and sorts rows numerically for market survey observation records containing respondent_count and sample_weight fields, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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 covering the supplied market survey observation rows: one applying string normalisation to text fields (such as company_group) and one ordering rows numerically by the selected field (respondent_count or sample_weight). No external lookups or predictions are made; analysis is performed locally on the provided data.
Example use cases
Cleaning survey group labels before reporting
“I have market survey observations from three company groups collected last quarter — the company_group strings are inconsistently formatted. Can you normalise those strings and order all 80 rows by respondent_count so I get clean, sorted output in two reports?”
Ordering survey rows by sample weight
“Take my 50 market survey observation rows with row IDs row-1 through row-50, company groups 'Alpha Corp' and 'Beta Ltd', dates in October 2026, and sort them by sample_weight numerically while also normalising the string fields — I need the two analytical reports.”
Pre-processing survey data for downstream analysis
“Before I feed my market survey results into our dashboard, can you clean up the string fields and sort the 120 rows numerically by respondent_count? Each row has a row_id, company_group, date, respondent_count, and sample_weight — I need two processed reports back.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and numeric row ordering on market survey data (respondent_count or sample_weight fields) without requiring any external data lookups, predictions, or live integrations. It is ideal for pre-processing up to 200 survey observation rows cheaply ($0.01 USDC for two reports). Prefer alternatives if you need pivot tables, histogram generation, weighted means, or other analytical transformations offered by sibling endpoints.
Side effects
- Rows array 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
- field value not in enum ['respondent_count','sample_weight'] — rejected
- Numeric fields out of allowed range (±1,000,000,000,000) — validation error
- Payment not included or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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