# Schema Conformity Analytics — Record Quality Audit + Exact Row Deduplication + Daily Sum Series

> Schema Conformity Analytics — Record Quality Audit + Exact Row Deduplication + Daily Sum 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 three offline analytical reports on schema conformity data (valid_records, checked_records): a record quality audit, exact row deduplication, and a daily sum time series — all from supplied rows, no external calls.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-215?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-analytics-record-quality-audit-exact-row-89b9f4be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BObWdMsm0tCTp_VADM2Os

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-analytics-record-quality-audit-exact-row-89b9f4be -d '<json body>'
```

Example prompt: Can you run a full record quality audit, exact row deduplication check, and daily sum series on my schema conformity data? Here are up to 200 rows with fields row_id, dataset_group, date, valid_records, and checked_records — I want all three reports using valid_records as the target field.

## When to prefer this

Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and daily aggregation — on schema conformity data in a single API call at low cost ($0.01 USDC). Ideal for offline batch analysis of up to 200 rows where no live data lookups, predictions, or external integrations are needed. Prefer alternatives if you need more than 200 rows, real-time streaming results, or only one of the three report types.

## Known failure modes

- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, valid_records, checked_records) cause row-level validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes parse errors
- Null or out-of-range numeric values in valid_records or checked_records may affect aggregation accuracy
- Malformed JSON input body returns a 400-level error

## How this service works

Schema conformity — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging anomalous or problematic rows, (2) an exact row deduplication report identifying fully duplicate records, and (3) a daily sum time series aggregating the chosen field (valid_records or checked_records) by date — all computed locally from the supplied rows 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-analytics-record-quality-audit-exact-row-89b9f4be/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)