# Partnership Pipeline String Normalisation and Two-Measure Correlation

> Partnership Pipeline String Normalisation and Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Normalises string fields and computes correlation between qualified_partners and active_partners across up to 200 partnership pipeline rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-033?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/partnership-pipeline-string-normalisation-and-two-measure-correlation-fb1a873e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Pry6HflzxRQwkM2hVXEVK

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-and-two-measure-correlation-fb1a873e -d '<json body>'
```

Example prompt: Can you run string normalisation and correlation analysis on my partnership pipeline data? I have 4 rows — group-a on 2026-10-01 had 10 qualified and 1 active, group-b on 2026-10-02 had 20 qualified and 2 active, group-a on 2026-10-03 had 15 qualified and 3 active, and group-b on 2026-10-04 had 30 qualified and 4 active.

## When to prefer this

Use this endpoint when you have a structured partnership pipeline dataset (up to 200 rows) and need both string normalisation of group labels and a statistical correlation report between two partner count metrics in a single low-cost call. Prefer this over generic analytics tools when your data fits the qualified_partners/active_partners schema exactly and you want two bundled reports for $0.01 USDC without any external data enrichment or prediction.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both partner columns for all rows — correlation undefined or NaN
- row_id missing or empty — required field validation error
- Numeric values outside ±1,000,000,000,000 range — schema rejection

## How this service works

Partnership pipeline — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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: one covering string normalisation of the company_group and other string fields across the submitted rows, and one covering the Pearson or equivalent two-measure correlation between qualified_partners and active_partners. Both reports are derived solely from 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-string-normalisation-and-two-measure-correlation-fb1a873e/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)