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Aggregation Checks — String Normalisation + Numeric Row Ordering
x402
Aggregation Checks — 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 2026-10-24).
Normalises string fields and orders rows numerically for up to 200 supplied aggregation check records containing source_sum and aggregate_sum values, producing 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Aggregation checks — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied aggregation checks records (source_sum, aggregate_sum). 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 independent analytical reports covering (1) string normalisation of the supplied row fields and (2) numeric ordering of the rows, applied to up to 200 input records each containing row_id, dataset_group, date, source_sum, and aggregate_sum.
Example use cases
Reconciling financial dataset group sums
“I have 50 reconciliation rows across three dataset groups with source_sum and aggregate_sum values for each day in October — can you normalise the string labels and order the rows numerically by source_sum and produce both analytical reports?”
Detecting ordering anomalies in aggregation data
“Here are 120 rows of aggregation check data with row IDs, dates, and both source_sum and aggregate_sum values — run numeric row ordering on them so I can spot where the sequence breaks down, and give me the two reports back.”
Cleaning group labels before data pipeline import
“Before I import my aggregation records into the pipeline, normalise the dataset_group strings and sort the 80 rows by aggregate_sum so everything is consistently ordered — I'll paste the rows in the request.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-17-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and numeric row ordering on batch aggregation check data (up to 200 rows) without any external lookups or live data — particularly for data reconciliation workflows comparing source_sum against aggregate_sum across dataset groups. It covers two analytical angles in a single $0.01 call, making it cost-efficient for routine data quality checks.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_sum, aggregate_sum) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (not 'source_sum' or 'aggregate_sum') — bad request
- Payment of 0.01 USDC not received — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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