# Company Record Completeness — Daily Sum Series + Adjacent Row Changes

> Company Record Completeness — Daily Sum Series + 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).

Computes a daily sum series and adjacent row changes 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-01-137?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-adjacent-row-changes-e1fbca16
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JRQ8THTqy32_oOBP0It4V

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-adjacent-row-changes-e1fbca16 -d '<json body>'
```

Example prompt: Can you run a daily sum series and adjacent row changes analysis on these company completeness records I'm uploading — use populated_fields as the metric across up to 200 rows organized by company_group and date?

## When to prefer this

Choose this endpoint when you need offline, local analytical computation on company record completeness data — specifically daily sum aggregation and adjacent row delta analysis — without needing live data lookup, prediction, or external enrichment. Ideal when you have structured completeness records (populated_fields and required_fields) organized by date and company group and want two complementary views (trend totals + row-to-row changes) in one low-cost call.

## Known failure modes

- Missing required row fields (row_id, company_group, date, populated_fields, required_fields) causes validation error
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 row limit returns an error
- Empty rows array is rejected (minItems: 1)
- Invalid field enum value (anything other than populated_fields or required_fields) causes failure

## How this service works

Company record completeness — Daily sum series + Adjacent row changes: Daily sum series + 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

Two analytical reports: (1) a daily sum series aggregating the chosen field (populated_fields or required_fields) by date across all supplied company groups, and (2) an adjacent row changes report showing the delta between consecutive rows for the same field — both derived locally from the supplied data, up to 200 rows.

## 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-daily-sum-series-adjacent-row-changes-e1fbca16/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)