# Schema Conformity String Normalisation & Adjacent Row Changes Analytics

> Schema Conformity String Normalisation & Adjacent Row Changes Analytics 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).

Runs two analytical reports — string normalisation and adjacent row changes — over up to 200 schema conformity records containing valid_records and checked_records fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-029?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-string-normalisation-adjacent-row-changes-analytics-a734f7f4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E8xrCuDig8081BNJ5pqbS

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-string-normalisation-adjacent-row-changes-analytics-a734f7f4 -d '<json body>'
```

Example prompt: Can you run the string normalisation and adjacent row changes reports on my schema conformity data? I have 4 rows — row-1 through row-4 in group-a and group-b — with dates 2026-10-01 to 2026-10-04, valid_records values of 10, 20, 15, 30, and checked_records of 1, 2, 3, 4. Use valid_records as the target field.

## When to prefer this

Choose this endpoint when you need dual analytical reports — string normalisation and adjacent row changes — specifically on schema conformity datasets with valid_records and checked_records metrics, in batches of up to 200 rows per call. It is purpose-built for data quality and conformity tracking workflows rather than general-purpose statistics or live data lookup.

## Known failure modes

- Fewer than 1 row supplied — minItems validation failure
- More than 200 rows supplied — maxItems validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation error
- Field selector not in enum ['valid_records','checked_records'] — enum validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — range validation failure

## How this service works

Schema conformity — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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 two independent analytical reports for the submitted rows: (1) a string normalisation report covering the selected field across all supplied schema conformity records, and (2) an adjacent row changes report showing value deltas between consecutive rows for the selected field. Both reports are computed locally with no external lookups. Up to 200 rows supported per call.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-string-normalisation-adjacent-row-changes-analytics-a734f7f4/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)