# Accessibility Findings — Record Quality Audit + Two-Measure Correlation

> Accessibility Findings — Record Quality Audit + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Runs a record quality audit and Pearson/two-measure correlation analysis on up to 200 rows of accessibility findings data (findings and resolved_findings fields), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-17-015?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/accessibility-findings-record-quality-audit-two-measure-correlation-fc42a778
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tjflWX6ePDJ4ryVRbxDPg

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 accessibility-findings-record-quality-audit-two-measure-correlation-fc42a778 -d '<json body>'
```

Example prompt: Can you run a record quality audit and correlation analysis on my accessibility findings data? Here are my rows: row-1 on 2026-10-01 in group-a had 10 findings and 1 resolved; row-2 on 2026-10-02 in group-b had 20 findings and 2 resolved; row-3 on 2026-10-03 in group-a had 15 findings and 3 resolved — I want to see data quality issues and whether findings and resolved_findings are correlated.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a two-measure correlation analysis on accessibility findings records in a single $0.01 call (up to 200 rows). It is ideal for teams that track accessibility issues by game area over time and want to validate their dataset's integrity while simultaneously checking whether resolution rates track with discovery rates — all without sending data to an external ML or prediction service.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, game_area, date, findings, resolved_findings) on any row
- Date field does not match YYYY-MM-DD pattern — validation error
- findings or resolved_findings values outside allowed numeric range
- Insufficient non-null numeric pairs to compute meaningful correlation — may return NaN or warning

## How this service works

Accessibility findings — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied accessibility findings records (findings, resolved_findings). 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 two independent analytical reports: (1) a record quality audit identifying missing values, out-of-range entries, or formatting issues across the supplied rows, and (2) a two-measure correlation report computing the statistical relationship (e.g. Pearson correlation) between the 'findings' and 'resolved_findings' numeric columns. No external lookups or predictions are made; analysis is performed locally on the supplied data only.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/accessibility-findings-record-quality-audit-two-measure-correlation-fc42a778/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)
