# Account Research Coverage Frequency & IQR Outlier Analysis

> Account Research Coverage Frequency & IQR Outlier Analysis 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 category frequencies and IQR-based outlier flags for account research coverage metrics (researched_accounts, target_accounts) across up to 200 supplied rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-107?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-frequency-iqr-outlier-analysis-30748a11
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_eVcveuNEZemt1NOxYXWk4

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-frequency-iqr-outlier-analysis-30748a11 -d '<json body>'
```

Example prompt: Can you analyze this account research coverage data for me — flag any IQR outliers and show category frequencies for researched_accounts? I have rows for group-a and group-b across October 2026, each with a row_id, date, company_group, researched_accounts, and target_accounts values.

## When to prefer this

Choose this endpoint when you have tabular account research coverage records and need fast, local statistical analysis (frequency distributions and IQR outlier detection) without sending data to an external lookup or prediction service. Ideal for sales ops and RevOps teams auditing CRM pipeline data, ABM teams checking research coverage across company groups, or analysts who need a quick anomaly flag on up to 200 rows at very low cost ($0.01 per call for two reports).

## Known failure modes

- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause validation errors
- Rows exceeding 200 items are rejected (maxItems constraint)
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside allowed range (±1,000,000,000,000) are rejected
- Empty rows array returns an error (minItems: 1)
- Invalid field enum value (anything other than researched_accounts or target_accounts) causes rejection

## How this service works

Account research coverage — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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

Two independent analytical reports per call: (1) category frequency counts for the chosen field (researched_accounts or target_accounts) broken down by company_group, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. No live data lookups, predictions, or external actions are performed — all computation runs on the supplied rows only.

## 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-frequency-iqr-outlier-analysis-30748a11/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)