# Schema Conformity Numeric Row Ordering and Base-100 Series

> Schema Conformity Numeric Row Ordering and 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 2026-10-15).

Computes numeric row ordering and Base-100 index series for schema conformity records (valid_records, checked_records) across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-117?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-numeric-row-ordering-and-base-100-series-a0767db7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7qDXNn99c8cjesm9bo6as

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-numeric-row-ordering-and-base-100-series-a0767db7 -d '<json body>'
```

Example prompt: I have schema conformity data for our datasets — can you rank the rows numerically and build a Base-100 series for valid_records, starting from base index 0? I have 4 rows: row-1 group-a 2026-10-01 valid=10 checked=1, row-2 group-b 2026-10-02 valid=20 checked=2, row-3 group-a 2026-10-03 valid=15 checked=3, row-4 group-b 2026-10-04 valid=30 checked=4.

## When to prefer this

Choose this endpoint when you need both numeric row ranking and a Base-100 index series for schema conformity data (valid_records / checked_records) in a single low-cost call. Ideal for data quality monitoring pipelines, audit workflows, or analytics dashboards that need ordinal rankings and relative index series for up to 200 conformity records without requiring any external data lookups or live predictions.

## Known failure modes

- Missing required row fields (row_id, date, valid_records, checked_records) cause validation errors
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index value outside 0–199 range is rejected
- null values in numeric fields may affect ordering and indexing calculations
- Invalid field enum value (not valid_records or checked_records) causes rejection

## How this service works

Schema conformity — Numeric row ordering + Base-100 series: Numeric row ordering + 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 analytical reports: (1) numeric row ordering of the supplied conformity records ranked by the selected field, and (2) a Base-100 index series rebased from the specified base_index row — both computed locally without external lookups, covering up to 200 rows.

## 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-numeric-row-ordering-and-base-100-series-a0767db7/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)