# Schema Conformity Analytics — Numeric Row Ordering + Explicit Missing-Value Fill

> Schema Conformity Analytics — Numeric Row Ordering + 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 2026-10-18).

Sorts rows numerically and fills missing values (zero, mean, or median) for valid_records or checked_records fields in schema conformity datasets, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-124?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-numeric-row-ordering-explicit-missing-329dec3a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SbbD0k1J-sZ3ua5VC6lyE

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-numeric-row-ordering-explicit-missing-329dec3a -d '<json body>'
```

Example prompt: I have schema conformity records with some null values in valid_records — can you sort the rows numerically and fill the missing values using median imputation? Here are my rows: row-1 group-a 2026-10-01 valid=10 checked=1, row-2 group-b 2026-10-02 valid=null checked=2, row-3 group-a 2026-10-03 valid=15 checked=3.

## When to prefer this

Choose this endpoint when you need to simultaneously sort schema conformity data by numeric row order AND impute missing values in either valid_records or checked_records, getting both operations as paired reports in a single call. It is purpose-built for data quality record sets (valid/checked record counts by date and group) and delivers two reports per call at low cost. Prefer it over general-purpose analytics when your data fits the schema conformity domain and you need offline, deterministic computation with no external dependencies.

## Known failure modes

- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems exceeded error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- row_id missing or empty — minLength validation error
- Invalid fill method value — enum validation error
- Invalid field value — enum validation error
- Numeric values outside ±1,000,000,000,000 range — range validation error

## How this service works

Schema conformity — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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

Two analytical reports covering the submitted dataset rows: one showing numerically ordered rows and one showing the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Results 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",
     "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-numeric-row-ordering-explicit-missing-329dec3a/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)