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Editorial Turnaround Data Quality Suite — Record Audit + String Normalisation + Equal-Width Histogram
x402
Editorial Turnaround Data Quality Suite — Record 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 2026-11-02).
Runs three analytical reports on editorial turnaround data (draft_hours, review_hours): a record quality audit, string normalisation, and an equal-width histogram — all locally, with no external calls.
Price / call$0.01
Success—
StatusUnknown
How this service works
Editorial turnaround — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied editorial turnaround records (draft_hours, review_hours). 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
Three independent analytical reports: (1) a record quality audit flagging issues like nulls, out-of-range values, and malformed fields across up to 200 rows; (2) normalised string values for text fields such as channel_group; (3) an equal-width histogram for the selected numeric field (draft_hours or review_hours) with the configured number of bins and their counts/boundaries.
Example use cases
News desk pipeline quality check
“I have 50 editorial turnaround records from our news desk — can you run a full quality audit on them, normalise the channel group strings, and give me a 10-bin histogram of draft_hours so I can see where time is clustering?”
Review hours distribution analysis
“Audit these 120 editorial records for data quality issues, normalise any inconsistent string values, and generate an equal-width histogram with 8 bins for review_hours — I want to understand how review time is distributed across my editorial team.”
Editorial data cleansing before reporting
“Before I send this editorial turnaround dataset to my editor-in-chief, can you check it for record quality problems, fix up the string fields, and show me a 5-bin histogram of draft_hours so I can spot any outliers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-15-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) batch analytical pass over editorial turnaround records — specifically when you want all three of quality auditing, string normalisation, and histogram distribution in a single call with no external data dependencies. Ideal for newsroom data pipelines, editorial ops dashboards, or pre-reporting data validation workflows involving draft and review timing data up to 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- bins value outside 1–30 range returns a schema validation error
- Missing required fields (row_id, channel_group, date, draft_hours, review_hours) cause row-level errors
- Non-numeric values in draft_hours or review_hours (where null not intended) may degrade histogram output
- Payment of 0.01 USDC not fulfilled via x402 protocol results in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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