# Null Coverage Analytics: Numeric Interval Filter + Equal-Width Histogram

> Null Coverage Analytics: Numeric Interval Filter + 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 2026-10-18).

Filters null-coverage records by a numeric interval and produces an equal-width histogram, delivering two analytical reports for up to 200 rows of missing/total value data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-129?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analytics-numeric-interval-filter-equal-width-histogram-e45fbcbb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Q-EX0s2v54E5tYSHfrrK1

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-numeric-interval-filter-equal-width-histogram-e45fbcbb -d '<json body>'
```

Example prompt: I have null coverage records for my datasets — can you filter the missing_values field between 0 and 50, bucket them into 10 equal-width histogram bins, and give me both the interval filter and histogram reports? Here are my rows: row-1 (group-a, 2024-01-01, missing=5, total=100), row-2 (group-b, 2024-01-02, missing=25, total=200), row-3 (group-a, 2024-01-03, missing=45, total=150).

## When to prefer this

Choose this endpoint when you need two complementary views of numeric null-coverage data in a single call: an interval filter (which records fall within a specified range) and an equal-width histogram (how records distribute across bins). It is ideal for data-quality pipelines where you want a quick statistical snapshot of missing or total value distributions across dataset groups, without needing live data lookup or external enrichment. Best suited for batch sizes up to 200 rows at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Rows array empty or missing — returns validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) in any row — validation failure
- bins value outside 1–30 range — rejected
- minimum greater than maximum — may produce empty interval filter
- null values in the selected field — rows may be excluded from interval filter
- total_values or missing_values out of allowed numeric range — validation error

## How this service works

Null coverage — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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 two analytical reports: (1) a numeric interval filter report listing which rows fall within the specified [minimum, maximum] range for the chosen field, and (2) an equal-width histogram report showing bin boundaries and record counts across the specified number of bins — all computed locally on the supplied rows without 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",
     "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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-numeric-interval-filter-equal-width-histogram-e45fbcbb/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)