# Customer Segment Observations — Numeric Distribution + Daily Sum Series

> Customer Segment Observations — Numeric Distribution + Daily Sum Series 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).

Computes a numeric distribution report and a daily sum time series for account_count or revenue_amount across customer segment observation rows (up to 200)

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-075?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-numeric-distribution-daily-sum-series-93e7f00e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3J3MfsgqpFokFtIdJejDW

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-daily-sum-series-93e7f00e -d '<json body>'
```

Example prompt: Can you run a numeric distribution analysis and daily sum series on my customer segment data — I have rows with company_group, date, account_count, and revenue_amount fields — and analyze the revenue_amount field across up to 200 records?

## When to prefer this

Choose this endpoint when you need both a statistical distribution snapshot and a day-by-day sum trend from customer segment observations in a single low-cost call. It is best suited for offline or batch analytical workflows where you supply your own data rows (no live data fetch), need reproducible local computation, and want two complementary views — distributional shape plus temporal aggregation — for up to 200 records at $0.01 per call.

## Known failure modes

- More than 200 rows supplied — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 rejected by schema bounds
- All-null values for the selected field may produce empty or degenerate distribution output
- Invalid field enum value (not account_count or revenue_amount) causes schema rejection

## How this service works

Customer segment observations — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 independent analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the chosen field (account_count or revenue_amount), and (2) a daily sum time series aggregating that field by date — both computed locally from the supplied rows without any external lookup or prediction.

## 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-daily-sum-series-93e7f00e/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)