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Structured Data Observations — String Normalisation + Numeric Row Ordering
x402
Structured Data 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 2026-10-25).
Normalises string fields and orders rows numerically for structured data observation records with valid_items and total_items fields, returning 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Structured data observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied structured data observations records (valid_items, total_items). 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 2 independent analytical reports covering the submitted structured data observation rows (up to 200): one applying string normalisation to string fields (e.g. site_group) and one applying numeric row ordering based on the selected field (valid_items or total_items), all processed locally with no external lookups or predictions.
Example use cases
Cleaning site group observation records
“I have a batch of 50 observation records across different site groups with messy string labels and I need them normalised, then sorted by total_items ascending — can you run the two analytical reports on them for me?”
Ordering pipeline data quality rows by valid count
“Take these 120 rows of data quality observations with row_id, site_group, date, valid_items, and total_items fields, normalise the strings, and order the rows numerically by valid_items so I can review which records have the lowest valid counts.”
Preparing structured exports for downstream reporting
“Before I export my structured observation dataset to our reporting tool, can you normalise the site_group strings and reorder all 200 rows by their total_items values? I want two clean analytical reports back.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-08-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and numeric row ordering on structured observation data with valid_items and total_items fields, and want two bundled analytical reports for a single low-cost call ($0.01 USDC). Prefer it over heavier analytics pipelines when you have ≤200 rows, need no external lookups or predictions, and want fast deterministic transformation without side effects.
Side effects
- Exceeding 200 rows causes rejection — keep input within maxItems limit
- Missing required fields (row_id, site_group, date, valid_items, total_items) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null or out-of-range numeric values for valid_items/total_items may cause ordering issues
- Selecting an invalid field enum value (not 'valid_items' or 'total_items') causes a request error
- Payment failure via x402 protocol prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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