# Partnership Pipeline Category Frequencies and IQR Outlier Flags

> Partnership Pipeline Category Frequencies and IQR Outlier Flags 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 records to compute category frequencies and flag IQR-based outliers for qualified_partners and active_partners fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-107?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-and-iqr-outlier-flags-f0b4c1c8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jJxV5rzFuF2NWLvxy0pZ9

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-and-iqr-outlier-flags-f0b4c1c8 -d '<json body>'
```

Example prompt: Can you analyze these partnership pipeline records for me — I have up to 50 rows with company_group, date, qualified_partners, and active_partners — and give me both a category frequency breakdown by group and flag any IQR outliers in the qualified_partners field?

## When to prefer this

Choose this endpoint when you have structured partnership pipeline data with company group labels and partner count metrics and need both a frequency distribution of categories and statistical outlier detection in a single low-cost call. It is best suited for batch offline analysis of up to 200 rows using local analytical engines without requiring any external data lookups or live predictions.

## Known failure modes

- Fewer than 1 row supplied — minimum input not met
- More than 200 rows supplied — exceeds maximum batch size
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) cause validation errors
- Invalid date format not matching YYYY-MM-DD pattern
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- All-null numeric field prevents IQR computation

## How this service works

Partnership pipeline — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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

Returns two independent analytical reports for the supplied partnership pipeline rows: (1) category frequency counts broken down by company_group, and (2) IQR-based outlier flags for the selected numeric field (qualified_partners or active_partners), identifying which rows fall outside the interquartile range threshold.

## 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-and-iqr-outlier-flags-f0b4c1c8/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)