# Account Research Coverage — String Normalisation + Duplicate Key Report

> Account Research Coverage — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Runs string normalisation and duplicate key detection across up to 200 rows of account research coverage data (researched_accounts, target_accounts), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-021?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/account-research-coverage-string-normalisation-duplicate-key-report-c655f35f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DTR9FZmtX66v0gutHjAHr

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-string-normalisation-duplicate-key-report-c655f35f -d '<json body>'
```

Example prompt: Can you run string normalisation and a duplicate key report on my account research coverage records? I have rows with company_group, date, researched_accounts, and target_accounts — up to 50 rows — and I need two reports: one cleaning up the string fields and one flagging any duplicate keys.

## When to prefer this

Choose this endpoint when you have up to 200 rows of account research coverage data and need both string normalisation and duplicate key detection in a single low-cost call ($0.01 USDC). It is ideal for data quality checks on CRM or sales account datasets before analysis or import. It is not appropriate when you need live data lookups, external enrichment, predictive scoring, or processing more than 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Empty rows array (minItems: 1 not met) — error response
- Malformed JSON input — parse error

## How this service works

Account research coverage — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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: (1) a string normalisation report highlighting inconsistent, non-standard, or variant string values in fields like company_group across the supplied rows, and (2) a duplicate key report identifying rows sharing the same key combinations (e.g. duplicate row_id, company_group+date pairs). Both reports cover up to 200 input rows and are generated using local analytical engines with no external data 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-string-normalisation-duplicate-key-report-c655f35f/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)