# Accessibility Findings — Record Quality Audit + Adjacent Row Changes

> Accessibility Findings — 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 2026-10-23).

Runs two local analytical reports (record quality audit and adjacent row changes) on up to 200 rows of accessibility findings data covering the 'findings' and 'resolved_findings' fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-17-011?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/accessibility-findings-record-quality-audit-adjacent-row-changes-e5801e00
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8cm95FYvjdU6zucbVFCfj

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-adjacent-row-changes-e5801e00 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row changes report on my accessibility findings data? I have rows with game_area, date, findings, and resolved_findings columns — analyze the 'findings' field across up to 200 rows and flag any quality issues or unusual changes between consecutive rows.

## When to prefer this

Choose this endpoint when you need two simultaneous local analytical reports — record quality audit plus adjacent row changes — on accessibility findings data (findings and resolved_findings columns), without any live lookups or external data enrichment. It is cost-effective at $0.01 for both reports on up to 200 rows. Prefer it over general-purpose data tools when your dataset specifically matches the accessibility findings schema with game_area, date, findings, and resolved_findings fields.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, game_area, date, findings, resolved_findings) cause row-level validation errors
- Date strings not matching YYYY-MM-DD pattern may be rejected
- Numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) will fail validation
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (not 'findings' or 'resolved_findings') causes request failure

## How this service works

Accessibility findings — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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

Two independent analytical reports: (1) a record quality audit identifying data issues, anomalies, or quality flags at the row level; and (2) an adjacent row changes report showing how values shift between consecutive rows — all computed locally without external lookups, covering up to 200 rows per call.

## 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
  },
  "field": {
   "enum": [
    "findings",
    "resolved_findings"
   ],
   "type": "string",
   "default": "findings"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/accessibility-findings-record-quality-audit-adjacent-row-changes-e5801e00/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)