# Account Research Coverage — Record Quality Audit + String Normalisation

> Account Research Coverage — Record Quality Audit + String Normalisation 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).

Audits record quality and normalises strings for account research coverage data (researched_accounts, target_accounts) across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-001?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-record-quality-audit-string-normalisation-9e345cc4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_y78b4L8yVBtb-LgdtVcfx

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-string-normalisation-9e345cc4 -d '<json body>'
```

Example prompt: Can you run a record quality audit and string normalisation on my account research coverage data? I have rows with fields like row_id, company_group, date, researched_accounts, and target_accounts — here are my 4 rows: row-1 for group-a on 2026-10-01 with 10 researched and 1 target, row-2 for group-b on 2026-10-02 with 20 researched and 2 target, row-3 for group-a on 2026-10-03 with 15 researched and 3 target, and row-4 for group-b on 2026-10-04 with 30 researched and 4 target.

## When to prefer this

Choose this endpoint when you need a combined record quality audit AND string normalisation for account research coverage data specifically (researched_accounts, target_accounts fields) on up to 200 rows, at a fixed low cost of $0.01 USDC for both reports. Prefer this over generic data quality tools when your data already conforms to the expected schema (row_id, company_group, date, researched_accounts, target_accounts) and you want two complementary analytical reports in one call without live lookups or external enrichment.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems:1 not met) returns an input error
- Payment failure (insufficient USDC balance) blocks processing

## How this service works

Account research coverage — Record quality audit + String normalisation: Record quality audit + String normalisation 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 identifying issues such as nulls, out-of-range values, duplicate row_ids, or malformed dates across researched_accounts and target_accounts fields; and (2) a string normalisation report standardising company_group and other string fields. No external lookups or predictions are made — all analysis uses local engines.

## 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-record-quality-audit-string-normalisation-9e345cc4/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)