# Feature Availability Analytics: Exact Row Deduplication + Equal-Width Histogram

> Feature Availability Analytics: Exact Row Deduplication + 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 2026-10-20).

Analyzes feature availability records by performing exact row deduplication and generating an equal-width histogram on populated_features or expected_features values, returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-10-048?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/feature-availability-analytics-exact-row-deduplication-equal-width-838b0bcf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nRdV1Lf58pjCVjp7Z9M9q

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 feature-availability-analytics-exact-row-deduplication-equal-width-838b0bcf -d '<json body>'
```

Example prompt: Deduplicate my feature availability records and give me an equal-width histogram with 10 bins on the populated_features column — I have 4 rows across two dataset groups: row-1 in group-a on 2026-10-01 with populated=10/expected=1, row-2 in group-b on 2026-10-02 with populated=20/expected=2, row-3 in group-a on 2026-10-03 with populated=15/expected=3, and row-4 in group-b on 2026-10-04 with populated=30/expected=4.

## When to prefer this

Choose this endpoint when you need both exact duplicate detection and a frequency distribution histogram on feature availability data in a single $0.01 call. It is ideal for ML data quality workflows where you need to audit feature completeness records for duplicates and understand value distributions simultaneously. Prefer this over separate deduplication or histogram tools when your dataset has up to 200 rows and contains populated_features and expected_features columns.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, populated_features, expected_features) triggers schema validation failure
- bins value outside 1-30 range causes parameter rejection
- Null values in the selected histogram field may affect bin calculation
- Payment failure or insufficient USDC balance blocks execution

## How this service works

Feature availability — Exact row deduplication + Equal-width histogram: Exact row deduplication + Equal-width histogram for supplied feature availability records (populated_features, expected_features). 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 independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied feature availability records, and (2) an equal-width histogram report showing the frequency distribution of the selected field (populated_features or expected_features) divided into the specified number of bins. 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",
     "populated_features",
     "expected_features"
    ],
    "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_features": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "populated_features": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "expected_features": 1,
     "populated_features": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "expected_features": 2,
     "populated_features": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "expected_features": 3,
     "populated_features": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "expected_features": 4,
     "populated_features": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "populated_features",
    "expected_features"
   ],
   "type": "string",
   "default": "populated_features"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/feature-availability-analytics-exact-row-deduplication-equal-width-838b0bcf/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)