# Issue Throughput Record Quality Audit + Adjacent Row Changes

> Issue Throughput Record Quality Audit + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs two local analytical reports on issue throughput data: a record quality audit and an adjacent row changes analysis, for up to 200 rows of issues_opened/issues_closed data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-13-011?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/issue-throughput-record-quality-audit-adjacent-row-changes-703e6319
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZTL3IYrKCPvIjE0wAsCgF

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-record-quality-audit-adjacent-row-changes-703e6319 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row changes report on this issue throughput data — I have up to 50 rows with component, date, issues_opened, and issues_closed fields, and I want to check the issues_opened column specifically?

## When to prefer this

Use this endpoint when you have issue throughput tabular data (issues opened/closed by component and date) and need both a data quality audit and a consecutive-row change analysis in a single low-cost call ($0.01 USDC). It is ideal for pre-processing issue tracking exports before dashboarding or reporting, especially when you want offline/local analytical results without any external data enrichment or prediction.

## Known failure modes

- Missing required fields (row_id, component, date, issues_opened, issues_closed) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Submitting an empty rows array (minItems: 1 violation) is rejected
- Invalid field enum value (not issues_opened or issues_closed) causes an error
- Payment not included or insufficient USDC causes a 402 response

## How this service works

Issue throughput — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied issue throughput records (issues_opened, issues_closed). 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 independent analytical reports: (1) a record quality audit identifying missing values, format errors, out-of-range values, and other data integrity issues in the supplied rows; and (2) an adjacent row changes report highlighting differences between consecutive rows for the selected field (issues_opened or issues_closed), grouped by component and date. Results are computed locally without 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-record-quality-audit-adjacent-row-changes-703e6319/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)