# Validator Uptime Two-Measure Correlation + Explicit Missing-Value Fill

> Validator Uptime Two-Measure Correlation + Explicit Missing-Value Fill 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).

Computes Pearson/Spearman correlation between online_minutes and observed_minutes for validator uptime records, and fills missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-12-184?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-two-measure-correlation-explicit-missing-value-fill-24bca062
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ucP9UIWDbumRKmFhHVFpl

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-two-measure-correlation-explicit-missing-value-fill-24bca062 -d '<json body>'
```

Example prompt: I have 150 rows of validator uptime data with online_minutes and observed_minutes fields — some values are missing. Can you compute the correlation between those two measures and fill in the missing online_minutes using median imputation?

## When to prefer this

Choose this endpoint when you need both statistical correlation analysis and missing-value imputation for validator uptime data (online_minutes vs observed_minutes) in a single low-cost call. It is ideal for offline/batch analytical workflows on datasets up to 200 rows where no live blockchain lookup, external prediction, or real-time monitoring is needed. Prefer it over generic analytics platforms when the data is already structured in the expected schema and you want a simple, reproducible, fully local computation at minimal cost ($0.01 USDC for 2 reports).

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — request rejected with row limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Both online_minutes and observed_minutes are entirely null — correlation cannot be computed
- Unknown fill method enum value — rejected by schema validation
- Row missing required fields (row_id, instrument_group, date) — schema error

## How this service works

Validator uptime — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied validator uptime records (online_minutes, observed_minutes). 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

Returns two analytical reports: (1) a two-measure correlation report showing the statistical relationship (e.g. Pearson/Spearman coefficient) between online_minutes and observed_minutes across the supplied rows; and (2) an explicit missing-value fill report showing which rows had nulls in the specified field and what values were imputed using the chosen method (zero, mean, or median). No external data is fetched; all computation 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
  },
  "field": {
   "enum": [
    "online_minutes",
    "observed_minutes"
   ],
   "type": "string",
   "default": "online_minutes"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validator-uptime-two-measure-correlation-explicit-missing-value-fill-24bca062/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)