# Partnership Pipeline — Category Frequencies + Date by Category Pivot

> Partnership Pipeline — Category Frequencies + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Analyzes partnership pipeline data (qualified_partners, active_partners) to produce two reports: category frequency counts and a date-by-category pivot table, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-110?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/partnership-pipeline-category-frequencies-date-by-category-pivot-b7150d33
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SpcQR2dQFrYRKI3pW831m

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 partnership-pipeline-category-frequencies-date-by-category-pivot-b7150d33 -d '<json body>'
```

Example prompt: Can you analyze my partnership pipeline records and give me both a category frequency breakdown and a date-by-category pivot for qualified_partners? I have about 50 rows with fields: row_id, company_group, date, qualified_partners, and active_partners.

## When to prefer this

Choose this endpoint when you have up to 200 rows of partnership pipeline data and need two quick statistical views — category frequency counts and a date-by-category pivot — without needing external lookups, predictions, or live data. Ideal for offline batch analysis, reporting pipelines, or dashboard preparation where the data is already available and two report types are needed in a single call for $0.01 USDC.

## Known failure modes

- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) causes validation failure
- Date values not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error or truncation
- Invalid field enum value (not 'qualified_partners' or 'active_partners') causes rejection
- Empty rows array returns an error
- Payment failure (insufficient USDC) blocks the request

## How this service works

Partnership pipeline — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot for supplied partnership pipeline records (qualified_partners, active_partners). 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

Two analytical reports derived from the supplied rows: (1) a category frequency table showing how often each company_group appears in the dataset, and (2) a date-by-category pivot table showing the chosen metric (qualified_partners or active_partners) broken down by date and company_group. No external data is fetched; all computation is done on the provided rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "qualified_partners",
     "active_partners"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "active_partners": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "qualified_partners": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "active_partners": 1,
     "qualified_partners": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "active_partners": 2,
     "qualified_partners": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "active_partners": 3,
     "qualified_partners": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "active_partners": 4,
     "qualified_partners": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "qualified_partners",
    "active_partners"
   ],
   "type": "string",
   "default": "qualified_partners"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-category-frequencies-date-by-category-pivot-b7150d33/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)