# Customer Segment Observations — String Normalisation + Secondary-Measure Weighted Mean

> Customer Segment Observations — String Normalisation + Secondary-Measure Weighted Mean 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).

Runs string normalisation and secondary-measure weighted mean analytics on up to 200 customer segment observation rows (account_count, revenue_amount) and returns 2 independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-034?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-string-normalisation-secondary-measure-a1e4611b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-EALCzwb9BDSVxxkEUua7

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-string-normalisation-secondary-measure-a1e4611b -d '<json body>'
```

Example prompt: Can you run string normalisation and a revenue_amount weighted mean on my customer segment data? Here are my rows: row-1 for group-a on 2026-10-01 with account_count 10 and revenue_amount 1, row-2 for group-b on 2026-10-02 with account_count 20 and revenue_amount 2 — use account_count as the field.

## When to prefer this

Choose this endpoint when you need to simultaneously clean/normalise string-valued segment labels AND compute a weighted mean over a secondary numeric measure on the same customer segment dataset, all within a single low-cost ($0.01 USDC) call returning two bundled reports. Prefer it over separate normalisation or aggregation services when your dataset fits within 200 rows and you want both outputs in one transaction without external lookups or model inference.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in both numeric fields simultaneously may affect weighted mean computation
- Field enum value not in ['account_count','revenue_amount'] causes a validation error
- Numeric values outside ±1,000,000,000,000 are rejected

## How this service works

Customer segment observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 2 analytical reports: (1) string-normalised values for the company_group field across supplied rows, and (2) a secondary-measure weighted mean computed over the chosen field (account_count or revenue_amount) using the other numeric field as the weight, for up to 200 input 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
  },
  "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-string-normalisation-secondary-measure-a1e4611b/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)