# Account Research Coverage — Exact Row Deduplication + Adjacent Row Changes

> Account Research Coverage — Exact Row Deduplication + Adjacent Row Changes 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 exact rows and computes adjacent row changes for account research coverage data (researched_accounts, target_accounts) across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-046?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-adjacent-row-changes-1542c867
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pWBcln17aKYpdt6ReI_W0

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-adjacent-row-changes-1542c867 -d '<json body>'
```

Example prompt: I have account research coverage records for several company groups across October — can you deduplicate exact rows and show me the adjacent row changes for the researched_accounts field? Here are up to 50 rows with row_id, company_group, date, researched_accounts, and target_accounts.

## When to prefer this

Use this endpoint when you have tabular account research coverage data (up to 200 rows) and need both exact duplicate detection and sequential row-change analysis in a single call for a flat fee of $0.01 USDC. Ideal for sales ops or RevOps teams auditing coverage data quality before reporting. Prefer this over general-purpose deduplication tools when your data specifically tracks researched_accounts and target_accounts by company_group and date.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, company_group, date) — schema rejection
- Null numeric values handled but may affect change calculations
- Invalid field enum value (not researched_accounts or target_accounts) — error

## How this service works

Account research coverage — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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 reports: (1) an exact row deduplication report identifying which rows are identical duplicates, and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field (researched_accounts or target_accounts), scoped per company_group and date ordering. No external lookups or predictions are made — analysis is performed on the supplied data 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-exact-row-deduplication-adjacent-row-changes-1542c867/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)