# Process Handoffs — Equal-Width Histogram + Secondary-Measure Weighted Mean

> Process Handoffs — Equal-Width Histogram + Secondary-Measure Weighted Mean 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).

Computes an equal-width histogram for process handoff counts and a secondary-measure weighted mean for wait minutes (or vice versa) from supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-18-172?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-equal-width-histogram-secondary-measure-weighted-mean-25374002
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AO0z3I50vWdwgQkM-wr1o

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-equal-width-histogram-secondary-measure-weighted-mean-25374002 -d '<json body>'
```

Example prompt: I have process handoff records for two teams across 4 days — row-1 through row-4 with handoff counts and wait minutes — can you compute an equal-width histogram (5 bins) on handoff_count and a secondary weighted mean for those records?

## When to prefer this

Choose this endpoint when you have process handoff records (handoff_count and wait_minutes per team/date) and need both a distributional view (histogram) and a weighted central tendency measure in a single cheap call. Ideal for operations teams doing quick statistical summaries on batches up to 200 rows without requiring external data sources, predictions, or live lookups. Prefer it over general-purpose analytics tools when cost ($0.01 for two reports) and simplicity matter.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, team_group, date, handoff_count, wait_minutes) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- bins value outside 1–30 range causes rejection
- All numeric values null for the selected field yields undefined histogram/mean results
- Malformed JSON body returns a 4xx error

## How this service works

Process handoffs — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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

Returns two analytical reports: (1) an equal-width histogram of the selected primary field (handoff_count or wait_minutes) with configurable bin count showing bin boundaries and frequencies, and (2) a secondary-measure weighted mean using the other field, computed from up to 200 supplied process handoff rows. No external data is fetched; all computation uses the supplied records.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/process-handoffs-equal-width-histogram-secondary-measure-weighted-mean-25374002/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)