# Customer Segment Observations — Date×Category Pivot + Keyed Dataset Comparison

> Customer Segment Observations — Date×Category Pivot + Keyed Dataset Comparison 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).

Runs two local analytical reports on customer segment data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows of account_count or revenue_amount observations.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-188?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-date-category-pivot-keyed-dataset-551768bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2o3YFlO9vh_vZfCaAopXh

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-date-category-pivot-keyed-dataset-551768bd -d '<json body>'
```

Example prompt: I have two sets of customer segment records — each with company group, date, account count, and revenue amount — can you pivot the first dataset by date and company group on account_count AND compare it against the second dataset by key, all in one call?

## When to prefer this

Choose this endpoint when you need both a date×category pivot table AND a keyed dataset comparison in a single paid call for customer segment data (account_count or revenue_amount). It is cost-effective at $0.01 for two reports on up to 200 rows. Prefer it over single-report endpoints when you need both analytical views simultaneously without making two separate API calls.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) on any row causes validation error
- Malformed date string not matching YYYY-MM-DD pattern causes schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems:1 not satisfied) causes error
- Payment not included or insufficient (requires 0.01 USDC via x402) results in 402 response

## How this service works

Customer segment observations — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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) a date-by-category pivot table showing the selected metric (account_count or revenue_amount) broken down by date and company_group across the primary dataset, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets matched by row_id. Both reports are computed locally 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "account_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "revenue_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "account_count": 10,
     "company_group": "group-a",
     "revenue_amount": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "account_count": 20,
     "company_group": "group-b",
     "revenue_amount": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "account_count": 15,
     "company_group": "group-a",
     "revenue_amount": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "account_count": 30,
     "company_group": "group-b",
     "revenue_amount": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "account_count",
    "revenue_amount"
   ],
   "type": "string",
   "default": "account_count"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "account_count",
     "revenue_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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",
       "n
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-date-category-pivot-keyed-dataset-551768bd/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)