# Partnership Pipeline — Record Quality Audit + String Normalisation + Daily Sum Series

> Partnership Pipeline — Record Quality Audit + String Normalisation + Daily Sum Series 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: a record quality audit, string normalisation, and daily sum series for qualified_partners and active_partners metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-198?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-daily-54510e13
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IMriWVre2Rso_NLfDS0do

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-daily-54510e13 -d '<json body>'
```

Example prompt: Can you audit the quality of these partnership pipeline records, normalise the company group strings, and give me a daily sum series for qualified_partners? Here are up to 200 rows with row_id, company_group, date, qualified_partners, and active_partners fields.

## When to prefer this

Choose this endpoint when you need to simultaneously assess data quality, clean string fields, and compute daily aggregates on partnership pipeline data in a single low-cost call. It is best suited for offline/supplied-data analysis where no live lookup, external data enrichment, or predictive modelling is required. At $0.01 for three reports on up to 200 rows it is highly cost-effective for routine pipeline hygiene and trend summarisation tasks.

## Known failure modes

- Empty rows array or missing required fields (row_id, date, company_group) causes validation error
- More than 200 rows submitted — exceeds maxItems limit
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside ±1,000,000,000,000 range rejected
- Missing field selector defaults to qualified_partners but may return unexpected metric

## How this service works

Partnership pipeline — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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 reports computed locally from the supplied rows: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or malformed dates; (2) string normalisation results for the company_group field; and (3) a daily sum series for the selected field (qualified_partners or active_partners) aggregated across all rows by date.

## 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-record-quality-audit-string-normalisation-daily-54510e13/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)