# Validator Uptime Record Quality Audit, String Normalisation & Duplicate Key Report

> Validator Uptime Record Quality Audit, String Normalisation & Duplicate Key Report 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 three local analytical reports on supplied validator uptime records: a record quality audit, string normalisation, and duplicate key detection — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-12-192?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/validator-uptime-record-quality-audit-string-normalisation-duplicate-b72b4d71
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FLzXNzjluwWlBvKJ6lZIK

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 validator-uptime-record-quality-audit-string-normalisation-duplicate-b72b4d71 -d '<json body>'
```

Example prompt: Can you audit these validator uptime records for quality issues, normalise the instrument group strings, and flag any duplicate row keys? I have up to 50 rows with fields like row_id, instrument_group, date, online_minutes, and observed_minutes.

## When to prefer this

Use this endpoint when you need a combined data quality audit, string normalisation, and duplicate key check on validator uptime data (online_minutes / observed_minutes) in a single low-cost call. It is ideal for pre-processing or validation pipelines before ingesting validator uptime records into a database or reporting system. Prefer this over generic data quality tools when your data specifically concerns validator uptime with instrument group segmentation and you want three bundled analytical reports at once.

## Known failure modes

- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Row missing required fields (row_id, instrument_group, date, online_minutes, or observed_minutes)
- Date field does not match YYYY-MM-DD pattern
- online_minutes or observed_minutes outside allowed numeric range
- row_id exceeds 80 character maxLength
- Payment of 0.01 USDC not attached or rejected

## How this service works

Validator uptime — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied validator uptime records (online_minutes, observed_minutes). 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

Three independent reports returned for the submitted validator uptime rows: (1) a record quality audit highlighting data issues; (2) a string normalisation report showing normalised values for text fields like instrument_group; (3) a duplicate key report identifying rows with conflicting or repeated key combinations. No external lookups or predictions are made — all analysis is local.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validator-uptime-record-quality-audit-string-normalisation-duplicate-b72b4d71/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)