# Partnership Pipeline — Numeric Interval Filter + Explicit Missing-Value Fill

> Partnership Pipeline — Numeric Interval Filter + 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).

Filters partnership pipeline records (qualified_partners, active_partners) to a numeric interval and fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-09-135?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-interval-filter-explicit-missing-value-68af652e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J4UXL1gp-lCSSiH-2TPTZ

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-interval-filter-explicit-missing-value-68af652e -d '<json body>'
```

Example prompt: I have partner pipeline data for groups A and B across October — can you filter the qualified_partners column to only values between 0 and 50, and fill any missing values using median imputation? Here are up to 200 rows with row_id, company_group, date, qualified_partners, and active_partners.

## When to prefer this

Choose this endpoint when you have up to 200 partnership pipeline records (with qualified_partners and/or active_partners columns) and need both range-based outlier filtering and null imputation in a single paid call. It is purpose-built for partner data with company_group and date dimensions, and delivers two independent reports cheaply ($0.01 USDC). Prefer alternatives if you need live data lookup, predictive modeling, more than 200 rows, or fields beyond qualified_partners and active_partners.

## Known failure modes

- Rows array is empty or exceeds 200 items — validation error
- date field does not match YYYY-MM-DD pattern — schema rejection
- minimum greater than maximum — may produce empty filtered result set
- field enum value not recognized — schema rejection
- method enum value not one of zero/mean/median — schema rejection
- numeric values outside ±1,000,000,000,000 bounds — schema rejection
- Payment not fulfilled via x402 protocol — request blocked

## How this service works

Partnership pipeline — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill 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 analytical reports derived from the supplied rows: one applying the numeric interval filter (keeping only rows where the selected field falls within [minimum, maximum]) and one applying explicit missing-value imputation (replacing nulls in the selected field using zero, mean, or median). Both reports operate on the same submitted dataset of up to 200 rows using local analytical engines 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/partnership-pipeline-numeric-interval-filter-explicit-missing-value-68af652e/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)