# Partnership Pipeline — Trailing Mean Series + IQR Outlier Flags

> Partnership Pipeline — Trailing Mean Series + 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).

Computes trailing moving averages and IQR-based outlier flags for qualified_partners and active_partners time-series data across partnership pipeline records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-149?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-trailing-mean-series-iqr-outlier-flags-53fe981b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_R69seOSq0DDBMAjJFQxja

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-trailing-mean-series-iqr-outlier-flags-53fe981b -d '<json body>'
```

Example prompt: Can you compute a trailing mean series and flag IQR outliers for my partnership pipeline data — I have qualified_partners and active_partners columns by date and company group, use a window of 5, and I want to analyze the qualified_partners field across up to 50 rows?

## When to prefer this

Choose this endpoint when you need both trailing mean smoothing and IQR-based outlier detection on partnership pipeline data (qualified_partners or active_partners) in a single call. It is ideal for pre-processing or auditing partnership records before reporting or review cycles. Prefer this over generic stats tools when your data is already structured as time-series partnership pipeline rows with company groupings, and you want two coordinated statistical outputs at low cost ($0.01 USDC for both reports, up to 200 rows).

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, date, company_group) — schema rejection
- Window size larger than number of rows — insufficient data for computation
- Numeric values outside allowed range — schema validation error
- Invalid field enum value — rejected with allowed values listed

## How this service works

Partnership pipeline — Trailing mean series + IQR outlier flags: Trailing mean series + 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 rows: (1) a trailing mean series showing rolling averages over the specified window for the chosen field, and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds. Covers up to 200 rows per call with both reports delivered together.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-trailing-mean-series-iqr-outlier-flags-53fe981b/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)