# Validator Uptime Data Quality Audit, Deduplication & Daily Sum Series

> Validator Uptime Data Quality Audit, Deduplication & Daily Sum Series 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 three analytical reports on supplied validator uptime records: a record quality audit, exact row deduplication, and a daily sum time series for online_minutes or observed_minutes.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-12-215?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/validator-uptime-data-quality-audit-deduplication-daily-sum-series-9e917234
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tuuQQnnJv2EV8nPUvUrVM

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-data-quality-audit-deduplication-daily-sum-series-9e917234 -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact deduplication check, and daily sum series on my validator uptime data? Here are 4 rows — row-1 on 2026-10-01 with online_minutes 10 and observed_minutes 1 for group-a, row-2 on 2026-10-02 with 20 and 2 for group-b, row-3 on 2026-10-03 with 15 and 3 for group-a, row-4 on 2026-10-04 with 30 and 4 for group-b — and use online_minutes as the field for the daily sum.

## When to prefer this

Use this endpoint when you have up to 200 rows of validator uptime records and need all three of a quality audit, deduplication check, and daily aggregation in a single low-cost call. Prefer it over general-purpose data tools when you want a bundled, purpose-built report for online_minutes/observed_minutes data without setting up local analytical infrastructure. It is not suitable for live validator monitoring, predictions, or datasets larger than 200 rows.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, instrument_group, online_minutes, observed_minutes) cause row-level failures
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- field enum value other than 'online_minutes' or 'observed_minutes' is rejected
- Empty rows array fails minItems constraint
- Payment of 0.01 USDC not provided results in 402 response

## How this service works

Validator uptime — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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

Returns three independent analytical reports: (1) a record quality audit identifying missing values, type mismatches, and malformed dates across supplied rows; (2) an exact row deduplication report listing duplicate row groups; and (3) a daily sum time series aggregating the selected field (online_minutes or observed_minutes) by date. All computed locally with no external data lookups.

## 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
  },
  "field": {
   "enum": [
    "online_minutes",
    "observed_minutes"
   ],
   "type": "string",
   "default": "online_minutes"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validator-uptime-data-quality-audit-deduplication-daily-sum-series-9e917234/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)