# Company Record Completeness — Adjacent Row Changes & Base-100 Series

> Company Record Completeness — Adjacent Row Changes & Base-100 Series 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).

Computes adjacent row-to-row changes and base-100 indexed series for company record completeness metrics (populated_fields, required_fields) across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-155?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-adjacent-row-changes-base-100-series-490fb9fc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FCRizgev04G-G1xmW6DBq

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-adjacent-row-changes-base-100-series-490fb9fc -d '<json body>'
```

Example prompt: I have company record completeness data — up to 50 rows with row_id, date, company_group, populated_fields, and required_fields — can you run both the adjacent row changes report and the base-100 series indexed from row 0 on the populated_fields column?

## When to prefer this

Choose this endpoint when you have pre-collected company record completeness data (populated_fields and required_fields) and need two specific quantitative reports — row-over-row delta changes and a base-100 normalized series — computed purely from your supplied data. Ideal for data quality audits, CRM health monitoring, and completeness benchmarking across company groups, especially when you want deterministic local computation rather than live data enrichment or external lookups. Best suited for batch sizes up to 200 rows per call.

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum limit
- Missing required fields (row_id, date, company_group, populated_fields, required_fields) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- base_index value exceeds the number of submitted rows
- Non-numeric values in populated_fields or required_fields
- Payment not provided or insufficient — endpoint requires $0.01 USDC via x402

## How this service works

Company record completeness — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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 for the supplied rows: (1) an adjacent row changes report showing the delta between consecutive rows for the selected field, and (2) a base-100 indexed series anchoring the selected field's values to the specified base row, enabling relative trend comparison — all computed locally from the submitted data with no external lookups.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-adjacent-row-changes-base-100-series-490fb9fc/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)