# Customer Segment Observations — Exact Row Deduplication + Category Frequencies

> Customer Segment Observations — 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 2026-10-16).

Deduplicates exact duplicate rows and computes category frequency distributions for customer segment observation records containing account count and revenue amount fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-041?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-exact-row-deduplication-category-61b6d1c1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HrOPi_L290BeSnM3xRfoG

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 customer-segment-observations-exact-row-deduplication-category-61b6d1c1 -d '<json body>'
```

Example prompt: Can you deduplicate these customer segment records and tell me how frequently each company group appears? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 accounts and $1 revenue, row-2 on 2026-10-02 for group-b with 20 accounts and $2 revenue, row-3 on 2026-10-03 for group-a with 15 accounts and $3 revenue, and row-4 on 2026-10-04 for group-b with 30 accounts and $4 revenue.

## When to prefer this

Choose this endpoint when you need both exact duplicate detection and category frequency analysis on customer segment data (account_count, revenue_amount) in a single API call for up to 200 rows. It is ideal for data quality checks on CRM exports, pipeline ingestion validation, or pre-analysis cleaning where you want two bundled analytical reports at minimal cost. Prefer alternatives if you need fuzzy/near-duplicate detection, predictive modeling, or datasets larger than 200 rows.

## Known failure modes

- Empty rows array — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields (row_id, company_group, date, account_count, revenue_amount)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- row_id exceeding 80 character maxLength
- Payment failure — 0.01 USDC required per call

## How this service works

Customer segment observations — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies for supplied customer segment observations records (account_count, revenue_amount). 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 exact duplicates and a deduplicated set of up to 200 customer segment observation records; (2) a category frequency report showing how often each unique value appears in categorical fields such as company_group and date across the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "account_count",
     "revenue_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "account_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "revenue_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "account_count": 10,
     "company_group": "group-a",
     "revenue_amount": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "account_count": 20,
     "company_group": "group-b",
     "revenue_amount": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "account_count": 15,
     "company_group": "group-a",
     "revenue_amount": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "account_count": 30,
     "company_group": "group-b",
     "revenue_amount": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-exact-row-deduplication-category-61b6d1c1/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)