# Issue Throughput Analyzer — Record Quality Audit, String Normalisation & Weighted Mean

> Issue Throughput Analyzer — Record Quality Audit, String Normalisation & 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 2026-11-02).

Runs three local analytical reports on issue throughput data (issues_opened, issues_closed): a record quality audit, string normalisation, and a secondary-measure weighted mean — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-13-205?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/issue-throughput-analyzer-record-quality-audit-string-normalisation-5582d1cf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_eooKaziX-2ft1lKwqWcBe

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 issue-throughput-analyzer-record-quality-audit-string-normalisation-5582d1cf -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and weighted mean analysis on my issue throughput data for the 'issues_closed' field? I have about 50 rows covering components like 'frontend' and 'backend' with daily counts from October 2026.

## When to prefer this

Choose this endpoint when you need to run up to three combined data quality and statistical operations on issue throughput records in a single low-cost call ($0.01 USDC). It is ideal for software engineering teams auditing daily issue open/close counts per component without needing live data lookup, prediction, or external integrations. Prefer it over separate audit or normalisation tools when you want all three reports (quality audit, string normalisation, weighted mean) bundled for up to 200 rows.

## Known failure modes

- Fewer than 1 row or more than 200 rows provided — request rejected
- Missing required fields (row_id, component, date, issues_opened, issues_closed) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Field selector not one of 'issues_opened' or 'issues_closed' — enum validation error
- Payment of 0.01 USDC not provided or declined — 402 payment required response

## How this service works

Issue throughput — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied issue throughput records (issues_opened, issues_closed). 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

Returns three independent analytical reports: (1) a record quality audit flagging missing values, type errors, and out-of-range entries; (2) a string normalisation report standardising component name formatting; and (3) a secondary-measure weighted mean report computing a weighted average of the selected field (issues_opened or issues_closed) across supplied rows. All computed locally with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/issue-throughput-analyzer-record-quality-audit-string-normalisation-5582d1cf/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)