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Data Freshness — String Normalisation + Base-100 Series
x402
Data Freshness — String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Runs two analytical reports on data freshness records: string normalisation and a base-100 indexed series for age_minutes or record_count fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data freshness — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied data freshness records (age_minutes, record_count). 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 returned together: (1) string-normalised versions of the categorical/label fields in the supplied rows, and (2) a base-100 indexed numeric series for the selected field (age_minutes or record_count), anchored to the specified base_index row. Results cover up to 200 input rows and are computed locally with no external data lookups.
Example use cases
Pipeline freshness monitoring dashboard
“I have 150 rows of pipeline freshness data with dates, age_minutes, and record_count by dataset group. Can you normalise the string fields and generate a base-100 series for age_minutes starting from the first row so I can track relative staleness over time?”
Record count trend indexing
“Normalise the dataset group labels and give me a base-100 indexed series for record_count across these 80 freshness records — set the base to index 5 so I can see how counts grew relative to that reference point.”
Multi-group data freshness audit
“I've got freshness records for three dataset groups across 200 dates. Run string normalisation on the group names and compute a base-100 series on age_minutes starting from row 0 so I can compare each group's freshness trends on a common scale.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-06-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two bundled offline analytical reports — string normalisation plus a base-100 index series — on data freshness records (age_minutes, record_count) for up to 200 rows, without requiring any live data lookup, external enrichment, or prediction. It is cost-effective at $0.01 USDC for both reports in a single call. Prefer alternatives if you need histograms, grouped summaries, duplicate detection, or distribution analysis (see sibling endpoints on the same platform).
Side effects
- Rows array empty or missing — returns validation error
- More than 200 rows submitted — rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range for supplied row count — error or undefined behaviour
- Null values in age_minutes or record_count when that field is selected — may produce nulls in series output
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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