# Schema Conformity Analytics — Record Quality Audit, String Normalisation & Equal-Width Histogram

> Schema Conformity Analytics — Record Quality Audit, String Normalisation & Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).

Runs three analytical reports (record quality audit, string normalisation, and equal-width histogram) on schema conformity data (valid_records and checked_records) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-202?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-record-quality-audit-string-normalisation-44ae7613
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iMc0HuPKMO2JbvnXbSokU

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-record-quality-audit-string-normalisation-44ae7613 -d '<json body>'
```

Example prompt: Run a record quality audit, string normalisation, and equal-width histogram with 10 bins on these schema conformity rows — use valid_records as the field: row-1, group-a, 2024-01-01, valid=950, checked=1000; row-2, group-b, 2024-01-02, valid=800, checked=1000; row-3, group-a, 2024-01-03, valid=700, checked=950.

## When to prefer this

Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and histogram — on schema conformity data in a single low-cost call. It is ideal for data engineers or analysts who want to profile valid_records and checked_records distributions, catch data quality issues, and normalise string fields without setting up separate analytics pipelines. It is not suitable for live data lookups, predictive analysis, or datasets exceeding 200 rows.

## Known failure modes

- Rows array empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Field selector not one of 'valid_records' or 'checked_records' — enum validation failure
- Bins value outside 1–30 range causes parameter rejection
- All values for the selected field are null — histogram cannot be computed
- Malformed row objects with extra properties rejected due to additionalProperties:false

## How this service works

Schema conformity — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging issues in the conformity records, (2) a string normalisation report standardising text fields, and (3) an equal-width histogram breaking the chosen numeric field (valid_records or checked_records) into the specified number of bins — all computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-analytics-record-quality-audit-string-normalisation-44ae7613/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)