# Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter

> Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter 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 three local analytical reports on supplied numeric precision comparison rows: a record quality audit, exact row deduplication, and a numeric interval filter — all against user-supplied source_value/transformed_value data, no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-214?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-record-quality-audit-exact-row-099beb4a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_a2tkziMa69zlsw3QezUXZ

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-record-quality-audit-exact-row-099beb4a -d '<json body>'
```

Example prompt: Can you run the three-report numeric analytics bundle on my dataset — record quality audit, exact row deduplication, and filter for source_value between 0 and 100? Here are up to 200 rows with row_id, dataset_group, date, source_value, and transformed_value fields.

## When to prefer this

Choose this endpoint when you need all three operations — quality audit, deduplication, and interval filtering — bundled into a single call against your own supplied numeric data (up to 200 rows), with no need for external data enrichment, live lookups, or predictions. It is cost-effective at $0.01 USDC for the three-report bundle and is ideal for ETL validation, data cleaning pipelines, or pre-analysis data hygiene checks on source-versus-transformed numeric pairs.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, source_value, transformed_value, dataset_group) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Minimum value greater than maximum value may return an empty interval filter result
- Numeric values outside ±1,000,000,000,000 are rejected by schema constraints

## How this service works

Numeric precision comparisons — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent reports returned in a single response: (1) a record quality audit flagging issues like nulls or malformed fields, (2) an exact row deduplication report identifying duplicate records, and (3) a numeric interval filter report listing rows where the chosen field (source_value or transformed_value) falls within the specified minimum-maximum range. All computation is performed locally on the supplied data with no external data access.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "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"
  },
  "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/numeric-precision-comparisons-record-quality-audit-exact-row-099beb4a/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)