# Security Training Analytics — Two-Measure Correlation + Explicit Missing-Value Fill

> Security Training Analytics — 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 2026-11-01).

Computes correlation between two measures (participants and completions) and fills missing values using zero, mean, or median for security training records, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-13-184?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-01
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/security-training-analytics-two-measure-correlation-explicit-missing-fbb5ebce
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8DGnKp_MGi6gzv2NDNP18

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 security-training-analytics-two-measure-correlation-explicit-missing-fbb5ebce -d '<json body>'
```

Example prompt: I have security training data for up to 200 rows with participant counts and completion numbers across control groups — can you run a correlation between participants and completions and fill any missing completions using the median, then give me both reports?

## When to prefer this

Choose this endpoint when you have security training records (participants and completions) up to 200 rows and need both missing-value imputation and correlation analysis in a single low-cost call. It is purpose-built for security training data with control groups and date-keyed rows, and bundles two analytical reports for $0.01 USDC. Prefer it over generic analytics services when your data fits the defined schema and you want offline, local computation with no external data dependencies.

## Known failure modes

- Row count exceeds 200 items — request rejected
- Invalid date format (non-YYYY-MM-DD) causes validation error
- Missing required fields (row_id, control_group, date, participants, completions) returns schema error
- Invalid method enum value (not zero/mean/median) causes rejection
- Invalid field enum value (not participants/completions) causes rejection
- Fewer than 1 row submitted returns error
- All values for correlated field are null — correlation undefined

## How this service works

Security training — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied security training records (participants, completions). 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 between participants and completions across the supplied rows, and (2) an explicit missing-value fill report showing which cells were imputed and with what values (zero, mean, or median), based entirely on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/security-training-analytics-two-measure-correlation-explicit-missing-fbb5ebce/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)