# Validator Uptime — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series

> Validator Uptime — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Runs three local analytical reports on supplied validator uptime data: a record quality audit, exact row deduplication, and a trailing mean time series, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-12-216?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validator-uptime-record-quality-audit-exact-row-deduplication-35c5b156
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vzdSOIFgGM-wzKlMOoJCK

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-exact-row-deduplication-35c5b156 -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact row deduplication, and a trailing mean series with a window of 7 on my validator uptime data — I have rows with online_minutes and observed_minutes for instrument group 'validator-pool-A' across October 2026, and I want to use online_minutes as the target field?

## When to prefer this

Choose this endpoint when you need three bundled analytical operations on validator uptime data in a single low-cost call: quality auditing, deduplication, and rolling mean computation. It is ideal when you supply your own data rows (no live lookup needed), have up to 200 rows, and want offline/local analytics without external API dependencies. Prefer it over single-report endpoints when you need all three reports simultaneously for the same dataset.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Window size less than 2 or greater than 200 — invalid parameter
- Date field does not match YYYY-MM-DD pattern — schema validation error
- online_minutes or observed_minutes outside allowed numeric range — validation error
- Invalid field enum value (not online_minutes or observed_minutes) — parameter error
- Payment not included or insufficient — 402 payment required

## How this service works

Validator uptime — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean 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, null, or malformed values across the supplied rows; (2) an exact row deduplication report listing which rows are identical and which are retained; (3) a trailing mean time series for the selected field (online_minutes or observed_minutes) computed over the specified rolling window. All analysis is performed locally with no external lookups or predictions.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validator-uptime-record-quality-audit-exact-row-deduplication-35c5b156/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)