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Schema Conformity — String Normalisation + Base-100 Series
x402
Schema Conformity — 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 2026-10-14).
Runs two local analytical reports on schema conformity data: string normalisation and base-100 indexing for valid_records and checked_records fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied schema conformity records (valid_records, checked_records). 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 for the supplied schema conformity rows: (1) a string normalisation report standardising the selected field values across all rows, and (2) a base-100 index series anchored at the specified base_index row, both computed locally without external lookups. Up to 200 rows processed per call.
Example use cases
Indexing data quality metrics over time
“I have a month of daily schema conformity readings — 30 rows with valid_records and checked_records for two dataset groups. Can you index the valid_records field to a base of 100 starting from the first row so I can see how data quality has trended?”
Normalising checked_records for cross-group comparison
“Normalise the checked_records values across my schema conformity dataset — I've got 50 rows split across three dataset groups, and I want string-normalised output alongside the base-100 series so I can compare groups fairly.”
Automated schema conformity reporting pipeline
“Every week I get a batch of up to 200 schema conformity rows. Can you run both the string normalisation and base-100 index reports on this week's batch using the checked_records field, with the base index set to 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous local analytical reports — string normalisation and base-100 indexing — on schema conformity data (valid_records/checked_records) for up to 200 rows in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data already conforms to the required schema (row_id, dataset_group, date, valid_records, checked_records) and you want both normalisation and indexing in one shot without any external data enrichment or prediction.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value out of allowed numeric range (±1,000,000,000,000) — rejected
- base_index out of range (0–199 or exceeding row count) — error
- Missing required fields (row_id, date, valid_records, checked_records) — schema rejection
- Extra properties in row objects — rejected due to additionalProperties:false
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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