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Moderation Queues — String Normalisation + Base-100 Series
x402
Moderation Queues — 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 2026-11-02).
Applies string normalisation and base-100 indexing to moderation queue data (reported_items, reviewed_items) for up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Moderation queues — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied moderation queues records (reported_items, reviewed_items). 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 per call: a string-normalised version of the supplied moderation queue records and a base-100 indexed series for the chosen field (reported_items or reviewed_items), computed locally from the submitted data rows with no external lookups.
Example use cases
Monthly moderation volume trend report
“I have daily moderation queue data for November across three channel groups — can you normalise the strings and give me a base-100 index series for reported_items starting from the first row, so I can compare volume trends across groups?”
Reviewing team throughput indexing
“Index my reviewed_items counts to base 100 starting from day 5 of my moderation queue dataset, and normalise the string fields — I want to see relative throughput changes over the month across my channel groups.”
Cross-channel moderation comparison
“I want to compare reported content volumes across channel-group-a and channel-group-b for Q3 — run string normalisation and a base-100 series on the reported_items column starting from base index 0 for my 150 rows of moderation data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-06-030?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have moderation queue tabular data (reported_items and reviewed_items) and need both string normalisation and base-100 rebasing in a single low-cost call, without requiring live data lookups, predictions, or external integrations. Best suited for offline batch analytics on up to 200 rows of channel-grouped, date-stamped moderation metrics.
Side effects
- Missing required fields (row_id, date, channel_group, reported_items, reviewed_items) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- base_index value outside 0–199 range will be rejected
- Null numeric values may affect base-100 calculation if the base row is null
- Payment failure (insufficient USDC) results in no report being returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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