# Process Handoffs — Numeric Interval Filter + Explicit Missing-Value Fill

> Process Handoffs — 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 2026-10-26).

Filters process handoff records to a numeric interval and fills missing values using zero, mean, or median — returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-18-135?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/process-handoffs-numeric-interval-filter-explicit-missing-value-fill-96913cad
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HCjWLJdH09NzyIGShmX97

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 process-handoffs-numeric-interval-filter-explicit-missing-value-fill-96913cad -d '<json body>'
```

Example prompt: Take these process handoff records for our ops teams and filter handoff_count to only rows between 5 and 50, then fill any missing handoff_count values using the median — I have about 80 rows across group-a and group-b from October 2026.

## When to prefer this

Use this endpoint when you have process handoff records (handoff_count, wait_minutes) and need to both restrict data to a valid numeric range and handle missing values in a single operation, receiving two combined reports for $0.01 USDC. Prefer this over general-purpose analytics tools when working with operations handoff data up to 200 rows and needing a lightweight, paid-per-call batch computation with no external data dependencies.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (non-YYYY-MM-DD strings) causing row rejection
- min greater than max causing empty interval filter result
- Field name not in allowed enum (handoff_count or wait_minutes)
- All rows missing values for the target field — fill result may be degenerate
- Payment not included or insufficient USDC — 402 response

## How this service works

Process handoffs — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied process handoffs records (handoff_count, wait_minutes). 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 analytical reports covering: (1) rows filtered to the specified numeric interval for the chosen field (handoff_count or wait_minutes), and (2) the same dataset with missing values explicitly filled using the selected method (zero, mean, or median). Results are computed locally without external lookups, covering up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "handoff_count",
     "wait_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "wait_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "handoff_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "wait_minutes": 1,
     "handoff_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "wait_minutes": 2,
     "handoff_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "wait_minutes": 3,
     "handoff_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "wait_minutes": 4,
     "handoff_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "handoff_count",
    "wait_minutes"
   ],
   "type": "string",
   "default": "handoff_count"
  },
  "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/process-handoffs-numeric-interval-filter-explicit-missing-value-fill-96913cad/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)