# Schema Conformity Analytics — Weighted Mean & Missing-Value Fill

> Schema Conformity Analytics — Weighted Mean & 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 2026-10-10).

Computes a secondary-measure weighted mean and fills missing values for schema conformity records (valid_records, checked_records) across up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-187?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-weighted-mean-missing-value-fill-71375fc2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ogKH0NzrqaeeN5ZXQwV2a

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 schema-conformity-analytics-weighted-mean-missing-value-fill-71375fc2 -d '<json body>'
```

Example prompt: Can you compute the weighted mean of valid_records and fill any missing values using median for these schema conformity rows — I have 4 rows across groups A and B dated 2026-10-01 through 2026-10-04?

## When to prefer this

Choose this endpoint when you need fast, offline statistical aggregation of schema conformity metrics — specifically weighted means and missing-value imputation — on up to 200 rows of valid/checked record data, without requiring live data access or external enrichment. It is cost-effective at $0.01 per call covering 2 reports, ideal for data quality pipelines, audit workflows, or compliance summaries where local computation suffices.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, valid_records, checked_records) cause row rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- All-null values for the selected field may produce undefined weighted mean
- Malformed JSON body returns 400-level error

## How this service works

Schema conformity — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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 2 independent analytical reports per call: (1) a secondary-measure weighted mean computed over the selected field (valid_records or checked_records), and (2) explicit missing-value fills applied using the chosen method (zero, mean, or median) — all computed locally without external lookups, covering up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-analytics-weighted-mean-missing-value-fill-71375fc2/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)