# Partnership Pipeline — String Normalisation + Secondary-Measure Weighted Mean

> Partnership Pipeline — String Normalisation + Secondary-Measure Weighted Mean 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 partner name strings and computes a secondary-measure weighted mean across up to 200 partnership pipeline rows, returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-034?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-secondary-measure-weighted-99e177db
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gSE-a88Kzl7Z2Inc17dVj

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-secondary-measure-weighted-99e177db -d '<json body>'
```

Example prompt: Can you run string normalisation and a secondary-measure weighted mean on my partnership pipeline records? I have rows with company_group, date, qualified_partners, and active_partners — I want the analysis based on the qualified_partners field.

## When to prefer this

Choose this endpoint when you need to both clean/normalise string fields and compute a weighted mean on a secondary numeric measure within the same partnership pipeline dataset in a single paid call. It is optimised for batch analytical workloads up to 200 rows where you want two bundled reports without external lookups or predictions. Prefer alternatives on this platform if you only need record quality auditing, distribution summaries, or deduplication without the weighted mean computation.

## Known failure modes

- More than 200 rows submitted — request will be rejected with a max-items validation error
- Missing required fields (row_id, company_group, date, qualified_partners, or active_partners) — returns a schema validation error
- Invalid date format (not YYYY-MM-DD) — causes row-level validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected at schema validation
- field enum value not one of qualified_partners or active_partners — validation error
- Empty rows array — rejected due to minItems:1 constraint

## How this service works

Partnership pipeline — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 analytical reports per call: (1) string-normalised versions of the input partnership record fields, and (2) a secondary-measure weighted mean computed over the specified numeric field (qualified_partners or active_partners), grouped by the data provided. No external lookups or predictions are included — all analysis is performed on the supplied rows only.

## 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-secondary-measure-weighted-99e177db/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)