# Company Record Completeness — Daily Sum Series + Trailing Mean Series

> Company Record Completeness — Daily Sum Series + Trailing Mean 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 daily sum time series and trailing moving-average series for company record completeness metrics (populated_fields and required_fields) across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-136?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-daily-sum-series-trailing-mean-series-3df4d4a2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GimjLYpLh56KOW_ciOxKI

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-daily-sum-series-trailing-mean-series-3df4d4a2 -d '<json body>'
```

Example prompt: Can you run a daily sum series and trailing mean (window of 7) on our company record completeness data — I have about 150 rows with dates, company groups, and populated_fields counts — and I want to analyze the populated_fields metric?

## When to prefer this

Choose this endpoint when you have up to 200 company record rows with completeness metrics (populated_fields, required_fields) and need both a daily aggregate sum and a smoothed trailing mean in one call for $0.01 USDC. Ideal for lightweight, self-contained data quality reporting without needing a full analytics platform or live data connections.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation error
- Date values not matching YYYY-MM-DD pattern — schema error
- Window size outside 2–200 range — parameter error
- Non-numeric or out-of-range values for populated_fields or required_fields — type error
- Payment not completed or insufficient USDC — access denied

## How this service works

Company record completeness — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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 company record completeness rows: (1) a daily sum series aggregating the chosen field (populated_fields or required_fields) per date, and (2) a trailing moving-average series computed over the specified window size. Both reports are derived purely 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-daily-sum-series-trailing-mean-series-3df4d4a2/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)