# Numeric Precision Comparisons — Exact Row Deduplication + Equal-Width Histogram

> Numeric Precision Comparisons — 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 2026-10-15).

Runs two local analytical reports on supplied numeric comparison rows: exact duplicate row detection and an equal-width histogram distribution over a chosen numeric field.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-048?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numeric-precision-comparisons-exact-row-deduplication-equal-width-15f26dc3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rQsJZsSEWGe4tpKAvcSBV

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 numeric-precision-comparisons-exact-row-deduplication-equal-width-15f26dc3 -d '<json body>'
```

Example prompt: I have up to 200 rows of source_value vs transformed_value pairs — can you run an exact duplicate row check and an equal-width histogram (10 bins) over the source_value field for me? The rows include row_id, dataset_group, date, source_value, and transformed_value.

## When to prefer this

Choose this endpoint when you need two specific offline analytical reports — exact row deduplication and equal-width histogram — over a small dataset (up to 200 rows) of numeric source/transformed value pairs, without any need for external data, predictions, or live lookups. It is ideal for ETL validation, data quality audits, or numeric transformation QA workflows where you want both a duplicate check and a distribution view in a single low-cost call.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required row fields (row_id, dataset_group, date, source_value, transformed_value) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- bins value outside 1–30 range is rejected
- Values outside ±1,000,000,000,000 are rejected
- Sending an empty rows array returns an error

## How this service works

Numeric precision comparisons — Exact row deduplication + Equal-width histogram: Exact row deduplication + Equal-width histogram for supplied numeric precision comparisons records (source_value, transformed_value). 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 reports: (1) an exact row deduplication report identifying any fully duplicate rows across all supplied fields, and (2) an equal-width histogram showing bin boundaries and row counts for the selected numeric field (source_value or transformed_value), computed locally 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",
     "source_value",
     "transformed_value"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transformed_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_value": 10,
     "dataset_group": "group-a",
     "transformed_value": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_value": 20,
     "dataset_group": "group-b",
     "transformed_value": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_value": 15,
     "dataset_group": "group-a",
     "transformed_value": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_value": 30,
     "dataset_group": "group-b",
     "transformed_value": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "source_value",
    "transformed_value"
   ],
   "type": "string",
   "default": "source_value"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-exact-row-deduplication-equal-width-15f26dc3/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)