# Customer Segment Observations — Numeric Distribution + Adjacent Row Changes

> Customer Segment Observations — Numeric Distribution + 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 2026-10-20).

Analyzes customer segment observation data (account_count, revenue_amount) by producing a numeric distribution report and an adjacent row change report for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-077?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-numeric-distribution-adjacent-row-changes-8f5836d7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PbZnSbfqFYXuTcjGBPWwe

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-numeric-distribution-adjacent-row-changes-8f5836d7 -d '<json body>'
```

Example prompt: Run a numeric distribution and adjacent row changes analysis on my customer segment data — I have up to 50 rows with fields row_id, company_group, date, account_count, and revenue_amount — and I want the analysis run on the account_count field.

## When to prefer this

Choose this endpoint when you have customer segment observation data with account_count or revenue_amount fields and need both a distributional summary and a sequential row-change analysis in a single low-cost call. It is best suited for batch offline analysis of up to 200 pre-collected records rather than real-time streaming or predictive use cases. Prefer this over generic stats tools when your data is already structured with company_group, date, and numeric segment metrics.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- Field selector not in allowed enum ['account_count','revenue_amount'] causes error
- Numeric values out of the allowed range (-1e12 to 1e12) rejected
- Empty rows array (minItems:1 not met) causes failure

## How this service works

Customer segment observations — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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 for the specified field (account_count or revenue_amount): (1) a numeric distribution report summarizing the statistical spread and frequency of values, and (2) an adjacent row changes report showing delta differences between consecutive rows in the supplied dataset. Both reports are computed locally from 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-numeric-distribution-adjacent-row-changes-8f5836d7/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)