# Null Coverage Analytics: Equal-Width Histogram + Missing-Value Fill

> Null Coverage Analytics: Equal-Width Histogram + Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).

Generates an equal-width histogram of null coverage data and fills missing values (zero, mean, or median) for up to 200 supplied rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-175?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analytics-equal-width-histogram-missing-value-fill-08673f15
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bSiKkXcRzYJefaP3HaMvG

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 null-coverage-analytics-equal-width-histogram-missing-value-fill-08673f15 -d '<json body>'
```

Example prompt: I have up to 200 rows of null coverage data with missing_values and total_values columns — can you run an equal-width histogram with 10 bins on the missing_values field and also fill in any nulls using median imputation?

## When to prefer this

Choose this endpoint when you have pre-collected null coverage data (missing_values and total_values per row) and need both a distribution histogram and missing-value imputation in a single call without any external data lookup or live ML inference. It is ideal for data quality audits, ETL pipeline preprocessing, and reporting workflows where you control the input records and want deterministic local analytics at low cost.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, missing_values, total_values) cause schema rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Bins value outside 1–30 range returns a bounds error
- All rows having null in the target field may produce degenerate histogram results
- Numeric values outside ±1,000,000,000,000 are rejected by schema bounds

## How this service works

Null coverage — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill for supplied null coverage records (missing_values, total_values). 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 2 analytical reports: (1) an equal-width histogram showing frequency distribution of the chosen field across the specified number of bins, and (2) a missing-value fill report showing imputed values for null entries using the selected method (zero, mean, or median). No external data is fetched; all computation is performed locally on the supplied rows.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-equal-width-histogram-missing-value-fill-08673f15/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)