# Account Research Coverage: Exact Row Deduplication + Category Frequencies

> Account Research Coverage: Exact Row Deduplication + 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).

Deduplicates rows and computes category frequencies for account research coverage data (researched_accounts, target_accounts) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-041?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-exact-row-deduplication-category-frequencies-aeef161a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uhIOewLS2ImUJ6EP1FKoQ

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-exact-row-deduplication-category-frequencies-aeef161a -d '<json body>'
```

Example prompt: Can you deduplicate my account research coverage records and give me a frequency breakdown by company group? I have rows with fields like row_id, date, company_group, researched_accounts, and target_accounts — here's my data for groups A and B over the past week.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical computation — specifically exact duplicate detection and category frequency counts — on account research coverage data without requiring any external data enrichment, live lookups, or ML predictions. It is ideal for data hygiene checks on CRM exports or sales pipeline spreadsheets with up to 200 rows, at minimal cost ($0.01 USDC for both reports simultaneously).

## Known failure modes

- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Empty rows array (minItems: 1 not met) returns an error
- Numeric values for researched_accounts or target_accounts outside the allowed range cause rejection

## How this service works

Account research coverage — Exact row deduplication + Category frequencies: Exact row deduplication + 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

Two independent analytical reports: (1) an exact row deduplication report identifying which rows are duplicates across all fields, and (2) a category frequency report showing how often each company_group value appears in the supplied data. Both reports are derived entirely from the submitted rows 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/account-research-coverage-exact-row-deduplication-category-frequencies-aeef161a/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)