# Training Assessments — Trailing Mean Series + Explicit Missing-Value Fill

> Training Assessments — Trailing Mean Series + 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 2026-10-29).

Computes a trailing mean time series and fills missing values for pre_score or post_score fields in training assessment records (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-11-154?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/training-assessments-trailing-mean-series-explicit-missing-value-fill-8c85ba60
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9OTX9tp9PBCXQu1u8iGqJ

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 training-assessments-trailing-mean-series-explicit-missing-value-fill-8c85ba60 -d '<json body>'
```

Example prompt: Can you run a trailing mean series with a window of 3 on the pre_score field for my training assessment records, and fill any missing values using the median method? I have about 50 rows with columns row_id, course_group, date, pre_score, and post_score.

## When to prefer this

Choose this endpoint when you need both a rolling/trailing mean smoothing and explicit missing-value imputation applied to training or education assessment score data in a single call, without relying on external data sources or predictive models. It is ideal for pre-processing up to 200 assessment records before downstream reporting or visualization, especially when you want two distinct analytical outputs (smoothed series + filled series) for the price of one call.

## Known failure modes

- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Missing required fields (row_id, course_group, date) — schema validation error
- Window size outside 2–200 range — schema validation error
- Invalid field or method enum value — schema validation error

## How this service works

Training assessments — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied training assessments records (pre_score, post_score). 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 for the submitted training assessment rows: (1) a trailing mean time series computed over the specified window for the chosen field (pre_score or post_score), and (2) the same field with missing values explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-assessments-trailing-mean-series-explicit-missing-value-fill-8c85ba60/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)