# Process Handoffs — String Normalisation + Trailing Mean Series

> Process Handoffs — String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs two analytical reports on process handoff records: string normalisation of team/group labels and a trailing mean time-series calculation over handoff_count or wait_minutes.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-18-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/process-handoffs-string-normalisation-trailing-mean-series-08585345
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ikMFlXHgueg2Bv71tiLQV

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-string-normalisation-trailing-mean-series-08585345 -d '<json body>'
```

Example prompt: Can you normalize the team group labels and compute a trailing mean with a window of 3 for the handoff_count field across my process handoff records — I have about 50 rows with columns row_id, team_group, date, handoff_count, and wait_minutes?

## When to prefer this

Choose this endpoint when you need both label standardisation and a rolling/trailing mean time series computed locally on supplied process handoff data in a single low-cost call, without requiring any external data lookup, prediction, or live service. Best suited for operations analysts who need quick smoothing and string cleanup on up to 200 rows of handoff records.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size outside 2–200 range fails validation
- Missing required fields (row_id, date, handoff_count, wait_minutes) cause schema errors
- Null numeric values may produce gaps in the trailing mean series

## How this service works

Process handoffs — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 reports: (1) a string normalisation report applying standardised formatting to team_group labels across all rows, and (2) a trailing mean time series computed over the selected numeric field (handoff_count or wait_minutes) using the specified window size, 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/process-handoffs-string-normalisation-trailing-mean-series-08585345/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)