# Schema Conformity Analytics — Daily Sum Series & Adjacent Row Changes

> Schema Conformity Analytics — Daily Sum Series & 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 2026-10-17).

Computes a daily sum time series and adjacent row-to-row change report for schema conformity metrics (valid_records, checked_records) from up to 200 supplied rows, returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-137?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-daily-sum-series-adjacent-row-changes-d87b9202
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NhquxQm77h8aSV_NzO8ny

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-daily-sum-series-adjacent-row-changes-d87b9202 -d '<json body>'
```

Example prompt: I have 150 rows of schema conformity data with dates, dataset groups, valid_records, and checked_records — can you run both a daily sum series and adjacent row changes report on the valid_records field for me?

## When to prefer this

Choose this endpoint when you have up to 200 rows of schema conformity data with date, group, valid_records, and checked_records fields and need both a daily aggregated sum series and sequential row-change analysis in a single low-cost call. Ideal for lightweight data quality trend analysis without needing a full BI platform or live data connection.

## Known failure modes

- Fewer than 1 row supplied — rejected by minItems validation
- More than 200 rows supplied — rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation error
- Field selector not one of 'valid_records' or 'checked_records' — enum validation failure
- Null values in the selected metric field may produce null deltas or be excluded from sums

## How this service works

Schema conformity — Daily sum series + Adjacent row changes: Daily sum series + 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

Two analytical reports: (1) a daily sum series aggregating the selected field (valid_records or checked_records) by date, and (2) an adjacent row change report showing the difference between each consecutive row's value — 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-daily-sum-series-adjacent-row-changes-d87b9202/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)