# Queue Consumers Analytics — String Normalisation + Secondary-Measure Weighted Mean

> Queue Consumers Analytics — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Performs string normalisation and secondary-measure weighted mean calculations on up to 200 queue consumer records (queue_depth, processed_messages) and returns 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-07-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/queue-consumers-analytics-string-normalisation-secondary-measure-aa1bd12e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9sQI6HLQgghN7PZIxoCUN

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 queue-consumers-analytics-string-normalisation-secondary-measure-aa1bd12e -d '<json body>'
```

Example prompt: Can you run string normalisation and a secondary-measure weighted mean on these queue consumer records — I have 4 rows with queue_depth and processed_messages for components group-a and group-b across dates 2026-10-01 to 2026-10-04, and I want the analysis focused on queue_depth?

## When to prefer this

Choose this endpoint when you have tabular queue consumer data (up to 200 rows) and need both string normalisation of component/label fields AND a weighted mean computation on a secondary numeric measure in a single $0.01 call. Ideal for offline/batch analytical processing of queue monitoring data where no live lookup, prediction, or external data enrichment is required.

## Known failure modes

- More than 200 rows submitted — payload rejected due to maxItems constraint
- Missing required fields (row_id, component, date, queue_depth, or processed_messages) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minItems violation
- Invalid field enum value (not queue_depth or processed_messages) — schema error

## How this service works

Queue consumers — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied queue consumers records (queue_depth, processed_messages). 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

Returns 2 independent analytical reports: (1) a string normalisation report cleaning and standardising string fields across the supplied queue consumer rows, and (2) a secondary-measure weighted mean report computing weighted averages over the specified numeric field (queue_depth or processed_messages), all computed locally without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/queue-consumers-analytics-string-normalisation-secondary-measure-aa1bd12e/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)