# Partnership Pipeline Numeric Distribution & Adjacent Row Changes Analyzer

> Partnership Pipeline Numeric Distribution & Adjacent Row Changes Analyzer 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).

Analyzes partnership pipeline data to produce two reports: a numeric distribution and adjacent row changes for qualified_partners or active_partners metrics, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-077?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-numeric-distribution-adjacent-row-changes-analyzer-187573a6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IoBQT1rxcPhGBYskJHOFB

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-numeric-distribution-adjacent-row-changes-analyzer-187573a6 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and adjacent row changes analysis on my partnership pipeline data — here are my rows with company groups, dates, qualified_partners and active_partners — and focus the analysis on the qualified_partners field?

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis on partnership pipeline data — specifically numeric distribution and row-to-row change detection — without any external API calls or predictions. It is ideal for small-to-medium batch analytical tasks (up to 200 rows) where you want two complementary reports in a single $0.01 call on your own supplied data.

## Known failure modes

- Missing required fields (row_id, date, company_group, qualified_partners, active_partners) returns a validation error
- More than 200 rows submitted exceeds the max item limit and will be rejected
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null values in both numeric fields may result in empty or degenerate reports
- Invalid field enum value (not qualified_partners or active_partners) causes a schema error

## How this service works

Partnership pipeline — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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: (1) a numeric distribution breakdown of the selected field (qualified_partners or active_partners) showing how values are spread across the supplied rows, and (2) an adjacent row changes report highlighting the delta between consecutive rows for the selected field, all computed locally against the supplied data without any 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-numeric-distribution-adjacent-row-changes-analyzer-187573a6/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)