# Partnership Pipeline — String Normalisation + IQR Outlier Flags

> Partnership Pipeline — String Normalisation + 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).

Applies string normalisation and IQR-based outlier flagging to partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-032?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-string-normalisation-iqr-outlier-flags-bd6dc2b8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6wDMfoh6guwYHCnUPp5wr

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-string-normalisation-iqr-outlier-flags-bd6dc2b8 -d '<json body>'
```

Example prompt: Can you run string normalisation and IQR outlier flagging on my partnership pipeline data? I have up to 50 rows with company_group, date, qualified_partners, and active_partners — flag the qualified_partners field for outliers and normalise the strings.

## When to prefer this

Choose this endpoint when you need both string normalisation and IQR outlier detection on partnership pipeline data (qualified_partners and active_partners) in a single low-cost call. Ideal for pre-reporting data quality checks, batch cleansing of up to 200 partner records, and detecting statistically anomalous partner counts without needing external data sources or predictive models. Prefer alternatives if you need deduplication, date pivoting, or record quality audits, which are handled by sibling endpoints on the same platform.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) — validation error
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric fields outside allowed range (-1e12 to 1e12) — validation error
- Insufficient data variance for IQR computation (e.g. all-null numeric column) — may return degenerate outlier results
- Invalid field enum value (must be 'qualified_partners' or 'active_partners') — rejection

## How this service works

Partnership pipeline — String normalisation + IQR outlier flags: String normalisation + 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

Two independent analytical reports per call: (1) a string normalisation report cleaning and standardising string fields across the submitted rows, and (2) an IQR outlier flagging report identifying statistically anomalous rows in the selected numeric field (qualified_partners or active_partners). Results are based entirely on the supplied data with no external lookups.

## 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-string-normalisation-iqr-outlier-flags-bd6dc2b8/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)