# Schema Conformity Analytics — Exact Row Deduplication + Explicit Missing-Value Fill

> Schema Conformity Analytics — Exact Row Deduplication + 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).

Deduplicates rows and fills missing values for schema conformity records (valid_records, checked_records) across up to 200 rows, producing 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-054?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-exact-row-deduplication-explicit-missing-75e50787
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LfJfnoVc7-BnA9JnT75sR

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-exact-row-deduplication-explicit-missing-75e50787 -d '<json body>'
```

Example prompt: I have a batch of up to 200 schema conformity records with valid_records and checked_records fields — can you deduplicate the exact duplicate rows and fill any missing valid_records values using median imputation, then give me 2 reports on the cleaned data?

## When to prefer this

Choose this endpoint when you have up to 200 schema conformity records (with valid_records and checked_records fields) and need a combined deduplication and missing-value imputation report at low cost ($0.01 USDC for 2 reports). It is ideal for lightweight, local data cleaning tasks on conformity metrics without requiring external data sources, live APIs, or ML predictions.

## Known failure modes

- Exceeding 200 rows causes rejection
- Missing required fields (row_id, date, dataset_group) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- All rows being duplicates may result in a minimal deduplicated output
- Providing no null values means the fill report reflects no changes
- Invalid method or field enum values cause request failure

## How this service works

Schema conformity — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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 on the submitted schema conformity records: one covering deduplication results (exact duplicate rows identified and removed) and one covering missing-value fill results for the target field (valid_records or checked_records) using the chosen method (zero, mean, or median). No external lookups or predictions are made; all analysis is performed locally on the supplied data.

## 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-exact-row-deduplication-explicit-missing-75e50787/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)