# Account Research Coverage — Record Quality Audit + Numeric Distribution

> Account Research Coverage — Record Quality Audit + Numeric Distribution 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).

Runs two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of account research coverage data, analyzing researched_accounts and target_accounts fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-004?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/account-research-coverage-record-quality-audit-numeric-distribution-a483db3f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MF4hvZ2PRK43sWz11n67K

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 account-research-coverage-record-quality-audit-numeric-distribution-a483db3f -d '<json body>'
```

Example prompt: Run a record quality audit and numeric distribution report on my account research coverage data — here are up to 200 rows with row_id, company_group, date, researched_accounts, and target_accounts — and focus the distribution analysis on the researched_accounts field.

## When to prefer this

Choose this endpoint when you need a fast, low-cost ($0.01 USDC) offline quality audit and numeric distribution profile of account research coverage records without any live data enrichment or external lookups. It is ideal for pre-import validation of CRM or sales data pipelines, or for routine data health checks on batches of up to 200 account coverage rows. Not suitable when you need live account data enrichment, predictive scoring, or analysis of fields beyond researched_accounts and target_accounts.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds row limit
- Missing required fields (row_id, date, company_group, researched_accounts, target_accounts) — validation error
- Date values not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside allowed range (±1 trillion) — schema rejection
- Invalid field enum value (must be researched_accounts or target_accounts) — schema rejection

## How this service works

Account research coverage — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution for supplied account research coverage records (researched_accounts, target_accounts). 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 for the supplied rows: (1) a record quality audit flagging issues such as missing values, malformed dates, and out-of-range numerics across the researched_accounts and target_accounts fields; and (2) a numeric distribution summary for the selected field (researched_accounts or target_accounts), including statistical spread metrics. No external lookups or predictions are made — all analysis is performed locally on the supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "researched_accounts",
     "target_accounts"
    ],
    "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
     },
     "target_accounts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "researched_accounts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "target_accounts": 1,
     "researched_accounts": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "target_accounts": 2,
     "researched_accounts": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "target_accounts": 3,
     "researched_accounts": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "target_accounts": 4,
     "researched_accounts": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "researched_accounts",
    "target_accounts"
   ],
   "type": "string",
   "default": "researched_accounts"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/account-research-coverage-record-quality-audit-numeric-distribution-a483db3f/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)