# Numeric Precision Comparisons — Category Frequencies + Trailing Mean Series

> Numeric Precision Comparisons — Category Frequencies + Trailing Mean Series 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).

Analyzes up to 200 rows of source/transformed numeric value pairs, producing two reports: category frequency counts by dataset group and a trailing mean time series over a configurable window.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-103?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-category-frequencies-trailing-mean-series-4666dbf6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_REHuVOBxhj571A1V24Clw

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-category-frequencies-trailing-mean-series-4666dbf6 -d '<json body>'
```

Example prompt: Analyze my numeric precision comparison data — I have 150 rows with source_value and transformed_value fields across groups A and B — give me the category frequencies by dataset_group and a trailing mean series with a window of 5 for the transformed_value field.

## When to prefer this

Choose this endpoint when you need both a group-level frequency distribution and a rolling mean time series computed together on the same dataset of numeric source/transformed value pairs, without requiring any external data sources or live lookups. Ideal for data quality checks, ETL audits, and transformation validation workflows where you want two complementary statistical views in a single low-cost call.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — input rejected at maxItems limit
- Window size exceeds number of rows — trailing mean may produce partial or no results
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 range — validation error
- Invalid field enum value — request rejected
- Payment not included or insufficient — x402 payment required error

## How this service works

Numeric precision comparisons — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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) category frequency counts showing how many rows belong to each dataset_group, and (2) a trailing mean time series computed over the specified rolling window for the selected field (source_value or transformed_value), all derived from the supplied rows 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-category-frequencies-trailing-mean-series-4666dbf6/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)