# Numeric Precision Comparisons — Duplicate Key Report + Date by Category Pivot

> Numeric Precision Comparisons — Duplicate Key Report + Date by Category Pivot 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 precision comparison records: a duplicate key report and a date-by-category pivot, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-068?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-duplicate-key-report-date-by-category-975f8670
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AIH55QzPdGCeuynbCGSmd

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-duplicate-key-report-date-by-category-975f8670 -d '<json body>'
```

Example prompt: I have a table of up to 200 numeric precision comparison records with row IDs, dataset groups, dates, source values, and transformed values — can you run a duplicate key report and a date-by-category pivot on the source_value field for me?

## When to prefer this

Choose this endpoint when you need two simultaneous analytical reports — a duplicate key check and a date-by-category pivot — on a batch of up to 200 numeric comparison records (source vs transformed values), without requiring any external data lookups or live integrations. It is ideal for ETL auditing, data quality checks, and transformation validation workflows where you already have the full dataset locally.

## Known failure modes

- Input array is empty or missing — minItems:1 validation error
- Row count exceeds 200 — maxItems:200 validation error
- row_id missing or blank — minLength:1 validation error
- date field does not match YYYY-MM-DD pattern — pattern validation error
- source_value or transformed_value out of range ±1,000,000,000,000 — numeric bounds error
- field enum value not 'source_value' or 'transformed_value' — enum validation error
- Payment of 0.01 USDC not provided — x402 payment required error

## How this service works

Numeric precision comparisons — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot 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 analytical reports: (1) a duplicate key report identifying any repeated row_id values in the supplied dataset, and (2) a date-by-category pivot table aggregating the selected numeric field (source_value or transformed_value) across dataset_group and date dimensions. All computation is performed locally on the supplied data 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
  },
  "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-duplicate-key-report-date-by-category-975f8670/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)