# Time Series Completeness — Trailing Mean Series + Equal-Width Histogram

> Time Series Completeness — Trailing Mean Series + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Analyzes time series completeness records (observed vs expected data points) by computing a trailing mean series and an equal-width frequency histogram in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-16-148?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/time-series-completeness-trailing-mean-series-equal-width-histogram-29f63abc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_s6Une_9TUNj2x1lQMaZkV

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-series-completeness-trailing-mean-series-equal-width-histogram-29f63abc -d '<json body>'
```

Example prompt: Can you analyze my dataset completeness records for the last month — I have observed and expected point counts per day across two groups — and give me a trailing mean series using a window of 3 and an equal-width histogram with 10 bins on the observed_points field?

## When to prefer this

Choose this endpoint when you need both a smoothed trend view (trailing mean) and a distribution view (histogram) of time series completeness data in a single low-cost call. It is ideal for datasets up to 200 rows where you want local, deterministic statistical summaries of observed vs expected data coverage without any external data fetching, prediction, or live lookup. Prefer this over single-report alternatives when you need both temporal smoothing and frequency distribution in one request.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, date, observed_points, expected_points) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Window size less than 2 or greater than 200 rejected by schema
- Bins value outside 1–30 range rejected
- Null values in numeric fields may affect mean/histogram computation
- Empty rows array rejected (minItems: 1)

## How this service works

Time series completeness — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram for supplied time series completeness records (observed_points, expected_points). 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 series showing smoothed completeness values over time for the chosen field and window, and (2) an equal-width histogram showing the frequency distribution of values across the specified number of bins — both computed locally from the supplied rows without any external lookup or prediction.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/time-series-completeness-trailing-mean-series-equal-width-histogram-29f63abc/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)