# Account Research Coverage Analytics — Numeric Distribution & Category Frequencies

> Account Research Coverage Analytics — Numeric Distribution & Category Frequencies 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 numeric distribution statistics and category frequency breakdowns for account research coverage data (researched_accounts and target_accounts) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-072?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-analytics-numeric-distribution-category-1f154088
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yXNbz9D6FzNIfswx4vXV_

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-analytics-numeric-distribution-category-1f154088 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and category frequency analysis on my account research coverage data — here are 4 rows with row IDs row-1 through row-4, company groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, and researched_accounts values of 10, 20, 15, and 30? Analyze the researched_accounts field.

## When to prefer this

Choose this endpoint when you have tabular account research coverage data (up to 200 rows) and need quick local statistical distribution and category frequency summaries without any live external data enrichment, prediction, or professional assessment. It is ideal for summarizing CRM or sales coverage metrics in batch at very low cost ($0.01 USDC) and when you need two reports (numeric distribution + category frequencies) in a single call.

## Known failure modes

- Input array is empty or exceeds 200 rows — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — schema error
- Field selector not one of 'researched_accounts' or 'target_accounts' — enum validation failure
- Null values in numeric fields may affect distribution computation
- Payment of 0.01 USDC not confirmed — x402 payment required error

## How this service works

Account research coverage — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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 analytical reports for the chosen field (researched_accounts or target_accounts): (1) a numeric distribution report with statistical measures such as min, max, mean, median, and percentile breakdowns; and (2) a category frequency report showing how values are distributed across the company_group categories present in the supplied rows. Both reports are computed locally 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",
     "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-analytics-numeric-distribution-category-1f154088/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)