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Specification Traceability — Record Quality Audit + String Normalisation + Equal-Width Histogram
x402
Specification Traceability — Record Quality Audit + String Normalisation + Equal-Width Histogram 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).
Runs three local analytical reports on specification traceability data: a record quality audit, string normalisation, and an equal-width histogram for a chosen numeric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Specification traceability — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied specification traceability records (mapped_requirements, total_requirements). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the supplied specification traceability rows: (1) a record quality audit flagging completeness and validity issues, (2) a string normalisation report cleaning text fields like document_group, and (3) an equal-width histogram of the chosen numeric field (mapped_requirements or total_requirements) divided into the specified number of bins. All computation is performed locally with no external lookups.
Example use cases
Requirements coverage completeness check
“I have 80 rows of specification traceability records with document groups and dates — can you run a record quality audit and string normalisation on them, and give me a 5-bin histogram of the mapped_requirements field so I can see the coverage distribution?”
Histogram of total requirements by bin
“Take my spec traceability dataset (up to 150 rows, fields: row_id, document_group, date, mapped_requirements, total_requirements) and produce a 20-bin equal-width histogram on total_requirements along with a quality audit and string normalisation report.”
Data quality gate before traceability review
“Before our traceability review meeting, can you audit these 50 specification records for data quality issues, normalise the string fields, and give me a histogram with 8 bins on mapped_requirements so I can spot any outliers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-21-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have specification traceability records (with mapped and total requirement counts per document group) and need three simultaneous analytical reports — quality audit, string normalisation, and a histogram — in a single low-cost call. It is ideal for requirements engineers or systems analysts who want a quick data health check and distribution snapshot without setting up a local analytics pipeline. Prefer it over generic data analysis APIs when your data fits the traceability schema and you want all three reports bundled at $0.01 USDC for up to 200 rows.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, document_group, date, mapped_requirements, total_requirements) in any row — validation error
- bins value outside 1–30 range — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- field value not one of mapped_requirements or total_requirements — enum validation error
- All values null for the chosen field — histogram cannot be computed
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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