# Time Entries Trailing Mean Series

> Time Entries 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 2026-10-15).

Computes a trailing (rolling) mean series over time entry records for hours or billable_hours fields, using a configurable window size.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-rolling?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/time-entries-trailing-mean-series-6308dd45
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_R_zIfpykAO_E7A9IHMmby

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 time-entries-trailing-mean-series-6308dd45 -d '<json body>'
```

Example prompt: Calculate a trailing mean series for these time entries using a window of 3, smoothing the hours field: row-1 on 2025-01-01 for project Alpha with 8 hours (6 billable), row-2 on 2025-01-02 for project Beta with 10 hours (8 billable), row-3 on 2025-01-03 for project Alpha with 6 hours (5 billable), row-4 on 2025-01-04 for project Beta with 12 hours (9 billable).

## When to prefer this

Choose this endpoint when you need a locally-computed, deterministic rolling/trailing mean series on time entry data (hours or billable_hours) without any external data enrichment or forecasting. Ideal for smoothing noisy time-tracking data, detecting trends in logged hours, or preparing data for reporting — especially when you have up to 200 structured records and need a simple, low-cost ($0.01) statistical operation with no side effects.

## Known failure modes

- Fewer than the minimum 1 row supplied — request rejected
- Window size larger than number of provided rows — partial or edge-case results
- Invalid date format (not YYYY-MM-DD) — validation error
- Field value outside allowed numeric range — rejected
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, project, date, hours, billable_hours) — schema validation failure

## How this service works

Time entries - Trailing mean series: Trailing mean series for Time entries. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded trailing mean series deliverable.

## Output

A series of trailing mean values aligned to each input row, where each value represents the rolling average of the selected numeric field (hours or billable_hours) over the specified window of preceding records. Rows with insufficient preceding data (fewer than window size) are typically handled with available data or marked accordingly. Output covers up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "project",
     "date",
     "hours",
     "billable_hours"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "project": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "billable_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "hours": 10,
     "row_id": "row-1",
     "project": "group-a",
     "billable_hours": 1
    },
    {
     "date": "2026-10-02",
     "hours": 20,
     "row_id": "row-2",
     "project": "group-b",
     "billable_hours": 2
    },
    {
     "date": "2026-10-03",
     "hours": 15,
     "row_id": "row-3",
     "project": "group-a",
     "billable_hours": 3
    },
    {
     "date": "2026-10-04",
     "hours": 30,
     "row_id": "row-4",
     "project": "group-b",
     "billable_hours": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "hours",
    "billable_hours"
   ],
   "type": "string",
   "default": "hours"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/time-entries-trailing-mean-series-6308dd45/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)