# Form Inventories — Adjacent Row Changes & Two-Measure Correlation

> Form Inventories — Adjacent Row Changes & Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Analyzes form inventory records to compute adjacent row changes and two-measure correlation between field_count and labelled_fields for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-21-158?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/form-inventories-adjacent-row-changes-two-measure-correlation-3cc5e5aa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iZaLIvgJMn02At7nZi4G7

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 form-inventories-adjacent-row-changes-two-measure-correlation-3cc5e5aa -d '<json body>'
```

Example prompt: Can you analyze my form inventory records for adjacent row changes and compute the correlation between field_count and labelled_fields? I have rows with site groups like 'group-a' and 'group-b', dates from 2026-10-01 through 2026-10-04, and I want to focus the correlation on the field_count measure.

## When to prefer this

Choose this endpoint when you have tabular form inventory data with field counts and labelled field counts and need both row-to-row change detection and a correlation analysis between the two measures in a single call. It is ideal for lightweight, self-contained statistical analysis of up to 200 records without requiring external data sources or a dedicated analytics platform.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, site_group, date, field_count, labelled_fields) causes rejection
- Invalid field enum value (not 'field_count' or 'labelled_fields') causes an error
- Payment of 0.01 USDC not provided causes request failure

## How this service works

Form inventories — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied form inventories records (field_count, labelled_fields). 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 analytical reports: (1) adjacent row changes showing how field_count or labelled_fields shift between consecutive rows, and (2) a two-measure correlation report between field_count and labelled_fields across the supplied dataset of up to 200 rows. No external lookups or predictions are made; all analysis is local.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "site_group",
     "date",
     "field_count",
     "labelled_fields"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "site_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "field_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "labelled_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "site_group": "group-a",
     "field_count": 10,
     "labelled_fields": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "site_group": "group-b",
     "field_count": 20,
     "labelled_fields": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "site_group": "group-a",
     "field_count": 15,
     "labelled_fields": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "site_group": "group-b",
     "field_count": 30,
     "labelled_fields": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "field_count",
    "labelled_fields"
   ],
   "type": "string",
   "default": "field_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/form-inventories-adjacent-row-changes-two-measure-correlation-3cc5e5aa/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)