# Partnership Pipeline — Base-100 Series + Date by Category Pivot

> Partnership Pipeline — Base-100 Series + Date by Category Pivot 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).

Generates two analytical reports (Base-100 indexed series and a date-by-category pivot) from supplied partnership pipeline data covering qualified and active partners.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-167?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-base-100-series-date-by-category-pivot-c32415ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RJ7MZnl0Hg5PGV_5JtL_7

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-base-100-series-date-by-category-pivot-c32415ac -d '<json body>'
```

Example prompt: Can you run a base-100 index series and a date-by-category pivot on my partnership pipeline data — I have rows for group-a and group-b from October 2026, tracking qualified_partners, and I want to index from row 0?

## When to prefer this

Choose this endpoint when you have raw partnership pipeline records (with qualified_partners and/or active_partners counts by date and company group) and need two specific analytical outputs — a Base-100 indexed series for trend normalization and a date-by-category pivot — without requiring external data, live lookup, or prediction. It is ideal for offline batch analysis of up to 200 rows at very low cost ($0.01 USDC for both reports). Prefer alternatives if you need daily sum aggregation, correlation analysis, trailing means, or other analytical transformations not covered here.

## Known failure modes

- Missing required fields (row_id, date, company_group, qualified_partners, active_partners) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- base_index value exceeding the number of supplied rows causes an index-out-of-range error
- Supplying more than 200 rows exceeds the maxItems limit and is rejected
- Null values in the selected metric field may produce gaps or errors in the Base-100 series
- Empty rows array (minItems: 1 not met) returns a validation error

## How this service works

Partnership pipeline — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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

Returns two independent analytical reports: (1) a Base-100 indexed series showing relative change in the selected metric (qualified_partners or active_partners) normalized to 100 at the chosen base row, and (2) a date-by-category pivot table breaking down the metric by date and company_group. Both reports are computed from the supplied rows (up to 200) using local analytical engines with no external data 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-base-100-series-date-by-category-pivot-c32415ac/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)