# Metadata Completeness — Category Frequencies + Adjacent Row Changes

> Metadata Completeness — Category Frequencies + 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 2026-10-29).

Analyzes metadata completeness records (present_fields, expected_fields) to produce two reports: category frequency distributions and adjacent row change calculations, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-05-104?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/metadata-completeness-category-frequencies-adjacent-row-changes-791b84ff
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wHVqsrpQf_RJ-CTBy6yTi

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 metadata-completeness-category-frequencies-adjacent-row-changes-791b84ff -d '<json body>'
```

Example prompt: Can you analyze my metadata completeness records — I have up to 50 rows with site_group, date, present_fields, and expected_fields — and give me both a category frequency breakdown and the adjacent row changes for present_fields?

## When to prefer this

Choose this endpoint when you need two combined analytical views — category frequency counts and sequential row-to-row deltas — on metadata completeness data (present vs expected fields) in a single $0.01 call. It is ideal for lightweight, local batch analytics on up to 200 rows without needing a full analytics platform. Prefer this over general-purpose analytics APIs when your data is already structured with site_group, date, and field count columns and you want both distribution and change-detection reports in one response.

## Known failure modes

- More than 200 rows submitted — request exceeds maximum row limit
- Missing required fields (row_id, site_group, date, present_fields, or expected_fields) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Null values in present_fields or expected_fields may affect adjacent change calculations
- Invalid field enum value (must be 'present_fields' or 'expected_fields') — schema rejection
- Payment of 0.01 USDC not provided or rejected — 402 Payment Required

## How this service works

Metadata completeness — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes for supplied metadata completeness records (present_fields, expected_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 for the submitted rows: (1) category frequencies showing how often each site_group category appears, and (2) adjacent row changes showing the difference in the selected field (present_fields or expected_fields) between consecutive rows. No external lookups or predictions are made; all analysis is performed locally on the supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "site_group",
     "date",
     "present_fields",
     "expected_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
     },
     "present_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "expected_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "site_group": "group-a",
     "present_fields": 10,
     "expected_fields": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "site_group": "group-b",
     "present_fields": 20,
     "expected_fields": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "site_group": "group-a",
     "present_fields": 15,
     "expected_fields": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "site_group": "group-b",
     "present_fields": 30,
     "expected_fields": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "present_fields",
    "expected_fields"
   ],
   "type": "string",
   "default": "present_fields"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/metadata-completeness-category-frequencies-adjacent-row-changes-791b84ff/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)