# Partnership Pipeline — String Normalisation + Category Frequencies

> Partnership Pipeline — String Normalisation + Category Frequencies 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).

Normalises strings and computes category frequencies for up to 200 partnership pipeline records (qualified_partners, active_partners) in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-024?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-category-frequencies-8b4b0caa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iDpLytMrp0hQ8sUpEtQEX

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-category-frequencies-8b4b0caa -d '<json body>'
```

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

## When to prefer this

Choose this endpoint when you need both string normalisation and categorical frequency analysis on partnership pipeline data (qualified_partners, active_partners) in a single low-cost call. It is ideal for batch preprocessing of up to 200 CRM or pipeline export rows where you want clean group labels and a frequency breakdown without needing live data lookups, predictions, or external enrichment. If you only need one of the two reports, or if your dataset exceeds 200 rows, a different endpoint may be more appropriate.

## Known failure modes

- Fewer than 1 row submitted — minimum 1 row required
- More than 200 rows submitted — batch limit exceeded
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Numeric fields outside allowed range (-1e12 to 1e12) — schema rejection
- Payment not attached or insufficient — x402 payment required error

## How this service works

Partnership pipeline — String normalisation + Category frequencies: String normalisation + Category frequencies 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 string normalisation report cleaning and standardising the company_group and other string fields, and (2) a category frequency report counting how often each category value (e.g. company_group) appears across the submitted records. No external lookups or predictions are made; all computation is performed locally on the supplied data.

## 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-category-frequencies-8b4b0caa/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)