# Form Inventories — Record Quality Audit + Adjacent Row Changes

> Form Inventories — 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 2026-10-26).

Audits record quality and detects adjacent row changes in form inventory data (field_count, labelled_fields) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-21-011?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/form-inventories-record-quality-audit-adjacent-row-changes-8bb0a053
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iKhEjVHUKtvIdk5Gr7DzQ

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-record-quality-audit-adjacent-row-changes-8bb0a053 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row change detection on my form inventory data — I have about 50 rows with fields for row_id, site_group, date, field_count, and labelled_fields, and I want to analyze the field_count column?

## When to prefer this

Choose this endpoint when you need both a data quality audit and adjacent row change analysis on form inventory records in a single low-cost call. It is ideal for batch validation of up to 200 rows of form metadata without requiring any external data sources, live lookups, or professional assessment — making it suitable for automated pipelines that validate form tracking data before downstream reporting.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, site_group, date, field_count, labelled_fields) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field parameter not one of 'field_count' or 'labelled_fields' — enum validation error
- Null numeric values may reduce audit coverage or produce incomplete change calculations

## How this service works

Form inventories — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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

Two independent analytical reports: (1) a record quality audit highlighting completeness, validity, and anomaly flags across the supplied rows, and (2) an adjacent row changes report showing sequential differences in the selected field (field_count or labelled_fields) between consecutive rows, all computed locally without external lookups.

## 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-record-quality-audit-adjacent-row-changes-8bb0a053/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)