# Partnership Pipeline — Record Quality Audit + String Normalisation + Explicit Missing-Value Fill

> Partnership Pipeline — Record Quality Audit + String Normalisation + Explicit Missing-Value Fill 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).

Audits, normalises, and fills missing values in partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-208?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-25855e2c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kFURfmE8IemEHur0rhZrv

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-25855e2c -d '<json body>'
```

Example prompt: Can you audit the quality of my partnership pipeline records, normalise the company_group strings, and fill any missing qualified_partners values using median imputation? Here are my rows: [{"row_id":"r1","company_group":"Group A","date":"2025-01-01","qualified_partners":10,"active_partners":null},{"row_id":"r2","company_group":"group-a","date":"2025-01-02","qualified_partners":null,"active_partners":3}].

## When to prefer this

Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC) trio of data quality operations — audit, string normalisation, and missing-value imputation — on partnership pipeline records in a single call. It is ideal for pre-analysis cleanup, CRM migration validation, or routine data hygiene on up to 200 partner rows. Prefer it over single-operation endpoints when all three operations are needed simultaneously on the same dataset.

## Known failure modes

- Rows array is empty or exceeds 200 items — request rejected with validation error
- row_id is missing or blank — schema validation failure
- date field does not match YYYY-MM-DD pattern — validation error
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid method enum value (not zero/mean/median) — validation error
- Invalid field enum value (not qualified_partners/active_partners) — validation error
- Payment not confirmed via x402 protocol — request blocked

## How this service works

Partnership pipeline — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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

Three independent reports: (1) a record quality audit flagging issues such as malformed dates, out-of-range values, or duplicate row IDs; (2) a string normalisation report detailing transformations applied to text fields like company_group; (3) an explicit missing-value fill report showing which cells in the chosen field (qualified_partners or active_partners) were imputed and with what value (zero, mean, or median). All reports are generated locally from the supplied data with no external lookups.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-record-quality-audit-string-normalisation-25855e2c/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)