# Customer Segment Observations — Exact Row Deduplication + Numeric Row Ordering

> Customer Segment Observations — Exact Row Deduplication + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Deduplicates exact duplicate rows and applies numeric ordering to customer segment observation records containing account_count and revenue_amount fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-042?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-exact-row-deduplication-numeric-row-682fba16
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lNzt7MIOsyJYa5FjAPS3J

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-numeric-row-682fba16 -d '<json body>'
```

Example prompt: Can you deduplicate my customer segment observations and return them in numeric row order? I have up to 50 rows with fields like company_group, date, account_count, and revenue_amount — please run both the deduplication and ordering reports on the account_count field.

## When to prefer this

Choose this endpoint when you need both exact duplicate row removal and numeric ordering applied to customer segment data (account_count, revenue_amount) in a single $0.01 call that returns two reports. It is ideal for lightweight, offline data cleaning tasks on batches up to 200 rows where no external data enrichment, prediction, or live lookup is needed. Prefer alternatives if you need string normalization, statistical outlier detection, category frequency analysis, or other analytical operations not covered by deduplication and numeric ordering.

## Known failure modes

- Input array is empty (minItems: 1 violation — rejected)
- More than 200 rows submitted (maxItems: 200 exceeded — rejected)
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) — validation error
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Invalid field enum value (must be 'account_count' or 'revenue_amount') — rejected
- Payment of 0.01 USDC not provided — 402 Payment Required response

## How this service works

Customer segment observations — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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 analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the submitted customer segment observations, and (2) a numeric row ordering report presenting the rows sorted by the selected numeric field (account_count or revenue_amount). Both reports are computed locally on the supplied data with no external lookups.

## 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
  },
  "field": {
   "enum": [
    "account_count",
    "revenue_amount"
   ],
   "type": "string",
   "default": "account_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-exact-row-deduplication-numeric-row-682fba16/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)