# Schema Conformity — Daily Sum Series + IQR Outlier Flags

> Schema Conformity — Daily Sum Series + IQR Outlier Flags 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).

Computes daily sum time series and IQR-based outlier flags for schema conformity records (valid_records and checked_records) over up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-140?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-daily-sum-series-iqr-outlier-flags-1ffdd092
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PACP07WuKPkN6cEKeK1iq

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-daily-sum-series-iqr-outlier-flags-1ffdd092 -d '<json body>'
```

Example prompt: Analyze my schema conformity logs — I have up to 100 rows with columns row_id, dataset_group, date, valid_records, and checked_records — and give me both a daily sum time series and IQR outlier flags for the valid_records field.

## When to prefer this

Choose this endpoint when you need both a daily aggregated time series AND statistical outlier detection (IQR-based) for schema conformity metrics in a single low-cost call. It is purpose-built for valid_records and checked_records fields, making it ideal for data quality pipelines monitoring record validation rates over time. Prefer it over generic analytics tools when your data is already in the required row format and you want two bundled reports for $0.01.

## Known failure modes

- Missing required fields (row_id, date, valid_records, checked_records) causes validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- null values in numeric fields are accepted but may affect aggregation results
- Submitting fewer than 1 row returns an error due to minItems constraint

## How this service works

Schema conformity — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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 reports: (1) a daily sum time series aggregating the chosen field (valid_records or checked_records) by date, and (2) IQR outlier flags per row indicating which observations fall outside the interquartile range. Both reports are computed locally from supplied data with no external lookups.

## 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-daily-sum-series-iqr-outlier-flags-1ffdd092/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)