# Partnership Pipeline String Normalisation and Numeric Row Ordering

> Partnership Pipeline String Normalisation and Numeric Row Ordering 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 company_group strings and rank-orders rows by a chosen numeric partnership metric (qualified_partners or active_partners) for up to 200 supplied partnership pipeline records, producing two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-025?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-numeric-row-ordering-ce0d5f13
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_V9LB5n4SkJz9V58rsi2Ct

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-numeric-row-ordering-ce0d5f13 -d '<json body>'
```

Example prompt: I have partnership pipeline records for two company groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04 and counts for both qualified_partners and active_partners. Can you normalise the company_group strings and sort all the rows by qualified_partners, then give me the two reports?

## When to prefer this

Choose this endpoint when you have raw partnership pipeline records that need both string normalisation of company group labels and numeric ordering by a partner count metric in a single cheap call. It is purpose-built for partnership/CRM pipeline data with exactly these five fields and produces two reports per call at $0.01 USDC — ideal for pre-CRM-import cleanup or periodic pipeline reviews on batches up to 200 rows. Prefer alternatives if you need live data lookups, predictive scoring, or processing more than 200 rows at once.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- date field does not match YYYY-MM-DD pattern — validation error
- qualified_partners or active_partners value outside ±1,000,000,000,000 — rejected
- row_id missing or empty — schema validation failure
- field enum value not one of qualified_partners or active_partners — error
- Malformed JSON body — parse error

## How this service works

Partnership pipeline — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-normalised company_group values across all submitted rows, and one covering the same rows ranked in numeric order by the selected partnership metric (qualified_partners or active_partners). No external lookups or predictions are included — all analysis is performed on the supplied data 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-and-numeric-row-ordering-ce0d5f13/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)