# Moderation Queues — Record Quality Audit + String Normalisation + Daily Sum Series

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-06-198?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/moderation-queues-record-quality-audit-string-normalisation-daily-sum-def90cc4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NTDTHCzSbl0KncBrkk25_

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability moderation-queues-record-quality-audit-string-normalisation-daily-sum-def90cc4 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and daily sum series on these moderation queue rows — I have reported_items and reviewed_items for channel groups 'news-feed' and 'comments' across October 2026, about 50 rows total, and I want to analyse the reported_items field?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "reported_items",
     "reviewed_items"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "channel_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "reported_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "reviewed_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "channel_group": "group-a",
     "reported_items": 10,
     "reviewed_items": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "channel_group": "group-b",
     "reported_items": 20,
     "reviewed_items": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "channel_group": "group-a",
     "reported_items": 15,
     "reviewed_items": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "channel_group": "group-b",
     "reported_items": 30,
     "reviewed_items": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "reported_items",
    "reviewed_items"
   ],
   "type": "string",
   "default": "reported_items"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/moderation-queues-record-quality-audit-string-normalisation-daily-sum-def90cc4/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)