# Time Series Completeness — Grouped Numeric Summary + Equal-Width Histogram

> Time Series Completeness — Grouped Numeric Summary + 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).

Computes a grouped numeric summary and an equal-width histogram for time series completeness data (observed vs. expected data points) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-16-093?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-grouped-numeric-summary-equal-width-histogram-5ac7f05f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sYjiac_UQYxCqXisDUdA0

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-grouped-numeric-summary-equal-width-histogram-5ac7f05f -d '<json body>'
```

Example prompt: I have 4 rows of time series completeness data for two groups — group-a with dates 2026-10-01 and 2026-10-03 (observed 10 and 15, expected 1 and 3), and group-b with dates 2026-10-02 and 2026-10-04 (observed 20 and 30, expected 2 and 4) — can you give me a grouped numeric summary and a 5-bin equal-width histogram for the observed_points field?

## When to prefer this

Choose this endpoint when you need both a grouped descriptive summary and a histogram for time series completeness data (observed vs. expected counts) in a single call, especially when working with up to 200 rows of multi-group time-stamped records and want purely local analytical computation without any external data lookup or live predictions. It is cost-effective at $0.01 USDC for two reports simultaneously.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected by schema
- Empty rows array — minItems constraint violation
- Non-numeric values in observed_points or expected_points where number expected — type error

## How this service works

Time series completeness — Grouped numeric summary + Equal-width histogram: Grouped numeric summary + 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

Returns two reports: (1) a grouped numeric summary of the selected field (observed_points or expected_points) broken down by dataset_group, including descriptive statistics such as count, mean, min, max, and percentiles; and (2) an equal-width histogram with the specified number of bins (1–30, default 5) showing the frequency distribution of values across all rows. Both reports are computed locally from the supplied data with no external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/time-series-completeness-grouped-numeric-summary-equal-width-histogram-5ac7f05f/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)