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Moderation Queues — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Moderation Queues — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of moderation queue data containing reported and reviewed item counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Moderation queues — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied moderation queues records (reported_items, reviewed_items). 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 delivered together: (1) a record quality audit flagging data issues in the supplied rows, (2) a string normalisation report cleaning and standardising text fields, and (3) a daily sum series aggregating the selected numeric field (reported_items or reviewed_items) by date. All processing is done locally with no external lookups.
Example use cases
Daily moderation volume time series
“I have 120 rows of moderation queue data with daily reported_items and reviewed_items counts across several channel groups — can you run the daily sum series report on the reported_items field so I can see totals per day?”
Data quality check before moderation reporting
“Before I send our monthly moderation report, can you run a record quality audit on these 80 rows of queue data covering our 'live-chat' and 'forum' channel groups to flag any bad or incomplete records?”
Normalise channel group strings in queue export
“Our moderation queue export has inconsistent channel_group names — things like 'News Feed', 'news-feed', 'NewsFeed' — can you run the string normalisation report on these 60 rows to clean them up?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-06-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and daily sum series — on moderation queue records in a single low-cost call. It is best when your data is already on hand (no live lookups needed), contains up to 200 rows, and relates specifically to reported_items or reviewed_items counts across channel groups and dates.
Side effects
- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, channel_group, date, reported_items, reviewed_items) cause validation errors
- Date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Invalid field enum value (not 'reported_items' or 'reviewed_items') causes rejection
- Empty rows array causes a minItems validation error
- Payment of 0.01 USDC not completed causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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