# Company Record Completeness — Numeric Interval Filter + Daily Sum Series

> Company Record Completeness — Numeric Interval Filter + Daily Sum 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).

Filters company record completeness data by a numeric interval and computes daily sum series for populated_fields or required_fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-125?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-numeric-interval-filter-daily-sum-series-c3322e1d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1WVLcYwkWnIPSs2lqztYV

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-numeric-interval-filter-daily-sum-series-c3322e1d -d '<json body>'
```

Example prompt: I have up to 50 rows of company record completeness data with dates, group names, populated_fields, and required_fields — can you filter for rows where populated_fields is between 5 and 50, and also give me a daily sum series for populated_fields across all the groups?

## When to prefer this

Choose this endpoint when you have up to 200 rows of company record completeness data and need both a numeric range filter and a daily sum aggregation in a single call. It is ideal for data quality audits, completeness trend analysis, and batch reporting on company groups without any external data lookups. Prefer it over general analytics tools when you want a low-cost ($0.01 USDC), reproducible, local computation on your own supplied rows with no prediction or live enrichment.

## Known failure modes

- Fewer than 1 row supplied — request rejected due to minItems constraint
- More than 200 rows supplied — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- minimum value greater than maximum value may produce empty interval filter results
- Null values in populated_fields or required_fields may affect sum aggregation accuracy
- Missing required fields (row_id, company_group, date) cause schema validation errors

## How this service works

Company record completeness — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum 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 independent analytical reports derived from the supplied rows: (1) a numeric interval filter report listing rows where the selected field (populated_fields or required_fields) falls within the specified minimum–maximum range, and (2) a daily sum series aggregating the selected field's values by date across all filtered rows. Results are computed locally 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-numeric-interval-filter-daily-sum-series-c3322e1d/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)