# Numeric Precision Comparisons — Two-Measure Correlation + Keyed Dataset Comparison

> Numeric Precision Comparisons — Two-Measure Correlation + Keyed Dataset Comparison 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 statistical reports on supplied numeric rows: a correlation between source_value and transformed_value, plus a keyed comparison across two datasets, for up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-183?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-two-measure-correlation-keyed-dataset-682bd194
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jGFhGnF1EG8s7MVNSHkQJ

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-two-measure-correlation-keyed-dataset-682bd194 -d '<json body>'
```

Example prompt: I have two sets of numeric records with source and transformed values — can you run a two-measure correlation and a keyed dataset comparison on them? Here's my primary dataset with 4 rows (row-1 through row-4, groups A and B, dates 2026-10-01 to 2026-10-04, source values 10/20/15/30, transformed values 1/2/3/4) and a second dataset with slightly different source values (10/21/17/30) — give me both reports.

## When to prefer this

Choose this endpoint when you need both a correlation analysis and a keyed dataset comparison in a single paid call on up to 200 rows of numeric source/transformed pairs. It is ideal for auditing data transformation pipelines, validating numeric precision, or comparing two versions of a dataset without any external lookups or live data dependencies. The bundled two-report structure makes it cost-efficient ($0.01 USDC) when you need both analyses simultaneously.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — validation error
- Date field not in YYYY-MM-DD format — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Empty rows array — minimum 1 item required
- Payment not processed — x402 payment required before response

## How this service works

Numeric precision comparisons — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 two-measure correlation between source_value and transformed_value across the supplied rows, and (2) a keyed dataset comparison matching rows from the primary and secondary datasets by row_id, surfacing differences and group-level metrics. No external data is fetched; all analysis is performed on the supplied records.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transformed_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_value": 10,
     "dataset_group": "group-a",
     "transformed_value": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_value": 20,
     "dataset_group": "group-b",
     "transformed_value": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_value": 15,
     "dataset_group": "group-a",
     "transformed_value": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_value": 30,
     "dataset_group": "group-b",
     "transformed_value": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_value",
     "transformed_value"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
     }
    },
    "additionalPropert
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-two-measure-correlation-keyed-dataset-682bd194/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)