# Company Record Completeness — Base-100 Series + Missing-Value Fill

> Company Record Completeness — Base-100 Series + Missing-Value Fill 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 a Base-100 indexed time series and fills missing values for company record completeness data (populated_fields, required_fields) across up to 200 rows, using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-169?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-base-100-series-missing-value-fill-94d2e8f8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_M37I-UQ4dNRXWc4BLi8gM

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-base-100-series-missing-value-fill-94d2e8f8 -d '<json body>'
```

Example prompt: Take these 4 rows of company completeness data for group-a and group-b from October 2026, index the populated_fields values to a base-100 starting at row 0, and fill any missing values using median — give me both the indexed series and the filled report.

## When to prefer this

Choose this endpoint when you have pre-collected company record completeness data (populated_fields, required_fields) and need both a normalized Base-100 time series and explicit missing-value imputation in a single call, without any need for live data lookup or external enrichment. It is ideal for offline data quality analysis, CRM audits, and pipeline preprocessing where up to 200 rows need to be standardized and cleaned locally at low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- base_index out of range (0–199) — parameter error
- Both populated_fields and required_fields are null across all rows — computation may return empty or degenerate series
- row_id missing or empty — required field validation error
- Payment not included or insufficient — x402 payment required error

## How this service works

Company record completeness — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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 Base-100 indexed time series for the selected field (populated_fields or required_fields), anchored at the specified base_index row, and (2) an explicit missing-value filled version of the same dataset using the chosen method (zero, mean, or median). Both reports are derived locally from the supplied rows without any external data lookup.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "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-base-100-series-missing-value-fill-94d2e8f8/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)