# Schema Conformity — String Normalisation + Base-100 Series

> Schema Conformity — String Normalisation + Base-100 Series 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 two local analytical reports on schema conformity data: string normalisation and base-100 indexing for valid_records and checked_records fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-030?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-string-normalisation-base-100-series-ad6badc2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FcsXAj0siiFLDMZn0pvPb

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-base-100-series-ad6badc2 -d '<json body>'
```

Example prompt: Run the string normalisation and base-100 series reports on my schema conformity data — I have 4 rows for group-a and group-b dated 2026-10-01 through 2026-10-04 with valid_records values of 10, 20, 15, 30 and checked_records of 1, 2, 3, 4; use valid_records as the field and set the base index to row 0.

## When to prefer this

Choose this endpoint when you need two simultaneous local analytical reports — string normalisation and base-100 indexing — on schema conformity data (valid_records/checked_records) for up to 200 rows in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data already conforms to the required schema (row_id, dataset_group, date, valid_records, checked_records) and you want both normalisation and indexing in one shot without any external data enrichment or prediction.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value out of allowed numeric range (±1,000,000,000,000) — rejected
- base_index out of range (0–199 or exceeding row count) — error
- Missing required fields (row_id, date, valid_records, checked_records) — schema rejection
- Extra properties in row objects — rejected due to additionalProperties:false

## How this service works

Schema conformity — String normalisation + Base-100 series: String normalisation + Base-100 series 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 supplied schema conformity rows: (1) a string normalisation report standardising the selected field values across all rows, and (2) a base-100 index series anchored at the specified base_index row, both computed locally without external lookups. Up to 200 rows processed 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-string-normalisation-base-100-series-ad6badc2/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)