# Validator Uptime Record Quality Audit, String Normalisation & Base-100 Series

> Validator Uptime Record Quality Audit, String Normalisation & Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs three local analytical reports on supplied validator uptime rows: record quality audit, string normalisation, and a base-100 index series — no external lookups or predictions.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-12-201?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-base-100-d32b3868
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yeHV_l_Oah9JuF7CuplJM

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-base-100-d32b3868 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and base-100 index series on my validator uptime data? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04 with online_minutes and observed_minutes values — use online_minutes as the field and row index 0 as the base.

## When to prefer this

Choose this endpoint when you need batch analytical reporting — quality audit, string normalisation, and base-100 indexing — on locally-supplied validator uptime data (up to 200 rows) in a single low-cost call, with no need for live data, external lookups, or predictive modelling.

## Known failure modes

- Row count exceeds 200 items — request will be rejected
- Missing required fields (row_id, date, online_minutes, observed_minutes, instrument_group) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- base_index out of 0–199 range returns an error
- Null numeric values are permitted but may reduce report completeness

## How this service works

Validator uptime — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 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

Three independent analytical reports returned together: (1) a record quality audit flagging issues such as nulls, out-of-range values, or inconsistent dates across up to 200 uptime rows; (2) a string normalisation report covering instrument_group and other string fields; (3) a base-100 index series for the specified numeric field anchored to the chosen base row.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validator-uptime-record-quality-audit-string-normalisation-base-100-d32b3868/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)