# Schema Conformity Grouped Numeric Summary and Base-100 Series Analytics

> Schema Conformity Grouped Numeric Summary and Base-100 Series Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Computes a grouped numeric summary and a base-100 indexed time series for schema conformity records (valid_records, checked_records) supplied by the caller, using local analytical engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-092?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-grouped-numeric-summary-and-base-100-series-analytics-2cba59f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ge7UCBjmjhlBnUXy_0OBa

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-grouped-numeric-summary-and-base-100-series-analytics-2cba59f1 -d '<json body>'
```

Example prompt: Can you give me a grouped numeric summary and a base-100 series for my schema conformity data? I have records with dataset_group, date, valid_records, and checked_records — analyze on valid_records with base_index set to 0.

## When to prefer this

Choose this endpoint when you have your own schema conformity records (valid_records and checked_records) in hand and need both a grouped statistical summary and a base-100 normalized time series in a single low-cost call. It is a purely local compute service — no external data, predictions, or professional assessments — making it ideal for private or sensitive data quality workflows where you want deterministic, reproducible analytics without external API dependencies.

## Known failure modes

- Missing required row fields (row_id, dataset_group, date, valid_records, checked_records) causes validation error
- Rows array exceeds 200 items returns an error or truncation
- base_index out of range (>= number of rows) causes indexing failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both valid_records and checked_records for a group may produce incomplete summary statistics
- Payment of 0.01 USDC not included or rejected causes 402 response

## How this service works

Schema conformity — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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 reports computed locally: (1) a grouped numeric summary of the selected field (valid_records or checked_records) broken down by dataset_group, including aggregates like count, mean, min, max; and (2) a base-100 index series showing how the selected field evolves over time relative to the specified base row. Up to 200 rows are 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-grouped-numeric-summary-and-base-100-series-analytics-2cba59f1/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)