# Schema Conformity — Adjacent Row Changes + Equal-Width Histogram

> Schema Conformity — Adjacent Row Changes + Equal-Width Histogram 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).

Analyzes schema conformity data (valid_records, checked_records) by computing adjacent row changes and an equal-width histogram, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-156?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-adjacent-row-changes-equal-width-histogram-f57a4bdc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Qu6a2tl68jaUWbbI1myw9

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-adjacent-row-changes-equal-width-histogram-f57a4bdc -d '<json body>'
```

Example prompt: Can you run both an adjacent row changes analysis and an equal-width histogram (5 bins) on my schema conformity data for the valid_records field? I have up to 150 rows with row_id, dataset_group, date, valid_records, and checked_records.

## When to prefer this

Choose this endpoint when you need a combined adjacent-row-change analysis AND equal-width histogram on schema conformity data (valid_records or checked_records) in a single call. It is ideal for data quality monitoring pipelines where you want both temporal change detection and distribution analysis without calling separate services. Best for datasets of up to 200 rows where no live lookup or external prediction is needed.

## Known failure modes

- Row count exceeds 200 — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) — validation error
- Invalid date format (must be YYYY-MM-DD) — validation error
- bins value out of range (must be 1–30) — validation error
- All values null for selected field — histogram may be empty or degenerate
- Payment of 0.01 USDC not completed — request not processed

## How this service works

Schema conformity — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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) an adjacent row changes report showing the delta between consecutive rows for the selected field (valid_records or checked_records), and (2) an equal-width histogram breaking the field's value distribution into the specified number of bins with counts per bin. Both reports are computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-adjacent-row-changes-equal-width-histogram-f57a4bdc/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)