# Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary

> Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary 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 bundled analytical reports (record quality audit, exact row deduplication, and grouped numeric summary) on user-supplied numeric precision comparison records containing source and transformed values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-211?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-d9abc54b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_d3vFfjZp6BGDiLPCco6ll

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-d9abc54b -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact deduplication check, and grouped numeric summary on these rows I'm sending — each row has a row_id, dataset_group, date, source_value, and transformed_value — and focus the analysis on the source_value field?

## When to prefer this

Choose this endpoint when you need three bundled analytical reports (quality audit, deduplication, and grouped summary) in a single low-cost call for up to 200 rows of source/transformed numeric comparison data. It is ideal for ETL validation workflows, data migration QA, and lightweight batch analytics where no external lookup, prediction, or live data is needed. Prefer it over single-report endpoints on this platform when you need all three analyses together for cost efficiency at $0.01 USDC per call.

## Known failure modes

- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — row-level validation failure
- Invalid date format (must be YYYY-MM-DD) — schema validation error
- Numeric values outside allowed range (-1e12 to 1e12) — validation rejection
- Empty rows array — minimum 1 item required
- Payment not provided or insufficient — x402 payment required error

## How this service works

Numeric precision comparisons — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary 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

Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and data completeness issues; (2) an exact row deduplication report identifying fully duplicate records; and (3) a grouped numeric summary with aggregate statistics (e.g. counts, sums, means) broken down by dataset_group — all computed locally on the supplied data without any external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-record-quality-audit-exact-row-d9abc54b/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)