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Survey Response Weights — Daily Sum Series + Keyed Dataset Comparison
x402
Survey Response Weights — Daily Sum 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 2026-11-02).
Runs two local analytical reports on survey response weight data: a daily sum time series and a keyed row-by-row comparison between two supplied datasets, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Survey response weights — Daily sum series + Keyed dataset comparison: Daily sum series + Keyed dataset comparison for supplied survey response weights records (response_value, 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 independent analytical reports: (1) a daily sum series showing the aggregated selected field (response_value or sample_weight) totaled per date across all supplied rows, and (2) a keyed dataset comparison that matches rows from the primary and secondary datasets by row_id and highlights value differences. Both reports are computed locally using shared analytical engines with no external data lookups.
Example use cases
Tracking weighted survey sentiment over time
“I've got survey data with daily response values and sample weights for two respondent groups — can you compute the daily sum series on response_value across all rows so I can see how total weighted sentiment changed day by day?”
Auditing two waves of survey data for changes
“We ran the same survey in two different periods and I want to compare them row by row. Here are both datasets with matching row IDs — please run the keyed dataset comparison on response_value so I can see exactly which rows changed between wave 1 and wave 2.”
Regional sample weight quality check
“Can you take these 150 survey rows covering group-a and group-b regions and produce both a daily sum series of sample_weight and a keyed comparison against our benchmark dataset to check if the weights are consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-24-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a temporal aggregation (daily sums) and a row-keyed comparison between two survey datasets in a single API call at low cost. It is well-suited for survey analysts or economists who supply their own data and want fast, self-contained computation without any external data lookup or live prediction. It is not appropriate when you need forecasts, real-time data, more than 200 rows, or reports beyond daily sum series and keyed comparison.
Side effects
- Missing required fields (row_id, region, date, response_value, sample_weight) cause validation errors
- Exceeding 200 rows returns an input size error
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Null values in response_value or sample_weight may be handled as zero or skipped depending on engine behavior
- Mismatched row_ids between primary and comparison datasets may produce empty or partial keyed comparison results
- Payment failure (insufficient USDC) prevents report generation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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