# Company Record Completeness — Grouped Numeric Summary + Adjacent Row Changes

> Company Record Completeness — Grouped Numeric Summary + 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 2026-10-19).

Generates two analytical reports on company record completeness data: a grouped numeric summary by company group and an adjacent row change analysis, for up to 200 rows of populated_fields/required_fields data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-091?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-grouped-numeric-summary-adjacent-row-fa2bd6e8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x3ykARqJvamYhuYIJmMqC

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 company-record-completeness-grouped-numeric-summary-adjacent-row-fa2bd6e8 -d '<json body>'
```

Example prompt: Analyze these company record completeness rows for me — group them by company_group and summarize the populated_fields values, and also show me how populated_fields changes between adjacent rows: [row-1, group-a, 2026-10-01, populated_fields=10, required_fields=1], [row-2, group-b, 2026-10-02, populated_fields=20, required_fields=2], [row-3, group-a, 2026-10-03, populated_fields=15, required_fields=3].

## When to prefer this

Choose this endpoint when you need two specific analytical views — grouped aggregation by company group and row-to-row delta analysis — on a batch of up to 200 company record completeness rows, all in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data quality auditing where no live data lookup or external enrichment is required. Prefer sibling endpoints if you need a different analytical pairing (e.g., trailing mean series, base-100 indexing, or daily sums).

## Known failure modes

- Input array is empty or missing — returns validation error
- Row objects missing required fields (row_id, company_group, date, populated_fields, required_fields) — returns schema validation error
- More than 200 rows supplied — request rejected with max items exceeded error
- Date field does not match YYYY-MM-DD pattern — validation error
- Both populated_fields and required_fields are null for all rows — summary may return empty or zero statistics
- Payment not completed — x402 payment required error before processing

## How this service works

Company record completeness — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes for supplied company record completeness records (populated_fields, required_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) a grouped numeric summary of the selected field (populated_fields or required_fields) aggregated by company_group, including statistics such as count, sum, mean, min, and max per group; and (2) an adjacent row change report showing the difference in the selected field between each consecutive row, enabling trend and anomaly detection across the supplied dataset.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-grouped-numeric-summary-adjacent-row-fa2bd6e8/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)