# Schema Conformity — Record Quality Audit + Adjacent Row Changes

> Schema Conformity — Record Quality Audit + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).

Runs two analytical reports on schema conformity data — a record quality audit and adjacent-row change detection — for up to 200 rows of valid/checked record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-011?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-record-quality-audit-adjacent-row-changes-2ef30940
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J2Xlm153El1Nf1i_vLnXT

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-record-quality-audit-adjacent-row-changes-2ef30940 -d '<json body>'
```

Example prompt: Can you run the record quality audit and adjacent row changes reports on my schema conformity data — here are 4 rows across group-a and group-b from 2026-10-01 to 2026-10-04, with valid_records of 10, 20, 15, 30 and checked_records of 1, 2, 3, 4 — analyze the valid_records field?

## When to prefer this

Choose this endpoint when you need both a quality audit and row-to-row change analysis on schema conformity metrics (valid_records or checked_records) in a single low-cost call. It is ideal for batch analytical jobs on up to 200 rows of conformity data where no live external data, predictions, or side effects are needed. Prefer alternatives if you need only one report type, require more than 200 rows, or need real-time streaming analysis.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — request rejected with max items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, valid_records, checked_records) — rejected with required field error
- Field enum value outside valid options — schema rejection
- Null numeric values may cause incomplete delta calculations in the adjacent row changes report

## How this service works

Schema conformity — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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: (1) a record quality audit summarizing the distribution, completeness, and quality of valid_records or checked_records across the supplied rows; and (2) an adjacent row changes report showing delta values between consecutive rows, grouped or sorted by date. Both reports are computed locally 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-record-quality-audit-adjacent-row-changes-2ef30940/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)