# Numeric Precision Comparisons Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies

> Numeric Precision Comparisons Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies 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 (record quality audit, exact row deduplication, and category frequencies) on up to 200 rows of numeric source/transformed value pairs, all for $0.01 USDC.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-212?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-analytics-record-quality-audit-exact-3834ac5a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__3PC8B6ztIK8TPywcRFvo

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-analytics-record-quality-audit-exact-3834ac5a -d '<json body>'
```

Example prompt: Can you run the three-report analytics bundle on my numeric transformation records — record quality audit, exact deduplication, and category frequencies — for these rows: row-1 in group-a on 2026-10-01 with source_value 10 and transformed_value 1, row-2 in group-b on 2026-10-02 with source 20 and transformed 2, and row-3 in group-a on 2026-10-03 with source 15 and transformed 3?

## When to prefer this

Choose this endpoint when you need all three analytics (quality audit, deduplication, and category frequencies) on a small-to-medium dataset of numeric transformation records (up to 200 rows) in a single low-cost call. It is ideal for ETL validation, data migration checks, or transformation pipeline QA where no external data lookups or predictions are needed and you want deterministic, locally-computed results.

## Known failure modes

- Empty or missing rows array returns a validation error
- Rows array exceeding 200 items is rejected at schema level
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 is rejected
- row_id missing or empty string causes schema validation failure
- Payment not included or insufficient USDC results in 402 Payment Required

## How this service works

Numeric precision comparisons — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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 malformed, null, or out-of-range values in the source_value and transformed_value fields; (2) an exact row deduplication report identifying fully matching duplicate rows; and (3) a category frequencies report counting record occurrences per dataset_group. All computed locally with no 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-analytics-record-quality-audit-exact-3834ac5a/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)