# Partnership Pipeline — Record Quality Audit + String Normalisation + Two-Measure Correlation

> Partnership Pipeline — Record Quality Audit + String Normalisation + 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 2026-10-15).

Runs three analytical reports on partnership pipeline data: record quality audit, string normalisation, and correlation between qualified_partners and active_partners metrics, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-204?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-record-quality-audit-string-normalisation-two-e1d10bfb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SJE7NjERK8tB_B2_0uUIk

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-record-quality-audit-string-normalisation-two-e1d10bfb -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and correlation analysis on my partnership pipeline data? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 qualified_partners and 1 active_partners, 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 to run three complementary data-quality and analytical operations on partnership pipeline data in a single low-cost API call, rather than calling separate endpoints for each report. It is ideal for batch pre-processing of CRM exports, pipeline snapshots, or periodic data validation workflows involving up to 200 rows with qualified_partners and active_partners fields. Prefer it over manual inspection or generic ETL tools when you want structured reports on string normalisation, record quality, and metric correlation without involving external data sources or prediction models.

## Known failure modes

- Empty rows array or missing required fields (row_id, date, company_group) returns validation error
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- All null values in qualified_partners or active_partners may prevent meaningful correlation computation
- Numeric values outside ±1,000,000,000,000 range rejected by schema
- Payment of 0.01 USDC not included or declined causes x402 payment-required error

## How this service works

Partnership pipeline — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied partnership pipeline records (qualified_partners, active_partners). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging missing values, out-of-range numbers, malformed dates, or structural issues per row; (2) a string normalisation report showing standardised versions of text fields like company_group; and (3) a two-measure correlation report quantifying the statistical relationship between qualified_partners and active_partners across all supplied rows. No external data or live lookups are used — 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-record-quality-audit-string-normalisation-two-e1d10bfb/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)