# Partnership Pipeline String Normalisation and Exact Row Deduplication

> Partnership Pipeline String Normalisation and Exact Row Deduplication 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 strings and removes exact duplicate rows from partnership pipeline records containing qualified_partners and active_partners fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-020?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-exact-row-deduplication-ddf1e9ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LtALiSKaI3Pna0O6KJ5vY

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-exact-row-deduplication-ddf1e9ec -d '<json body>'
```

Example prompt: Can you clean up this partner pipeline dataset — normalise the string fields and remove any exact duplicate rows? I have records for group-a and group-b with qualified_partners and active_partners counts across October 2026, about 50 rows total.

## When to prefer this

Choose this endpoint when you have partnership pipeline data (with qualified_partners and active_partners fields) that needs both string field normalisation and exact row deduplication in a single low-cost call. Ideal for pre-processing partner data before analytics, CRM import, or reporting when your dataset is 200 rows or fewer and you need two focused quality reports without external lookups or ML predictions.

## Known failure modes

- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Numeric values outside the ±1,000,000,000,000 range are rejected
- Empty rows array (minItems:1 violated) returns an error
- Malformed JSON body results in a 400-level error

## How this service works

Partnership pipeline — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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: one covering string normalisation results (standardised company_group and string fields) and one covering exact row deduplication results (identifying and removing fully identical rows), applied to the supplied partnership pipeline records of up to 200 rows. No external lookups or predictions are made; all analysis 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-and-exact-row-deduplication-ddf1e9ec/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)