# Process Handoffs — Trailing Mean Series + Date by Category Pivot

> Process Handoffs — Trailing Mean 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 2026-10-25).

Computes a trailing mean time series and a date-by-category pivot table for process handoff records (handoff_count, wait_minutes) supplied by the caller.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-18-152?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/process-handoffs-trailing-mean-series-date-by-category-pivot-dd2e9fa6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E3LiusK3NDHWc2tGzaUV9

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-trailing-mean-series-date-by-category-pivot-dd2e9fa6 -d '<json body>'
```

Example prompt: Run a trailing mean series with a window of 3 and a date-by-category pivot on my handoff records — the field is wait_minutes, and my data has rows for team groups A and B across October 2026 with their handoff counts and wait times.

## When to prefer this

Choose this endpoint when you have pre-collected process handoff records (up to 200 rows) and need both a rolling-average time series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline or batch analytical jobs on structured tabular data where no live data lookup, external enrichment, or prediction is needed — just local statistical computation on supplied rows.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — request rejected
- Window size smaller than 2 or larger than 200 — validation error
- Missing required fields (row_id, date, team_group) on any row — schema error
- date field does not match YYYY-MM-DD pattern — validation failure
- Invalid field enum value (not handoff_count or wait_minutes) — rejected
- All values null for the chosen field — empty or degenerate output

## How this service works

Process handoffs — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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 independent analytical reports: (1) a trailing mean time series for the chosen field (handoff_count or wait_minutes) computed with the specified rolling window, and (2) a date-by-category pivot table grouping the same records by date and team_group, both derived purely from the supplied input rows (up to 200).

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/process-handoffs-trailing-mean-series-date-by-category-pivot-dd2e9fa6/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)