# Numeric Precision Comparisons — Grouped Summary & Trailing Mean Analytics

> Numeric Precision Comparisons — Grouped Summary & Trailing Mean Analytics 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).

Computes a grouped numeric summary and a trailing mean time series for supplied source_value/transformed_value comparison records, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-090?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-grouped-summary-trailing-mean-analytics-518b0487
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UQxHkxHt6kRhhvbA-Qs-f

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-grouped-summary-trailing-mean-analytics-518b0487 -d '<json body>'
```

Example prompt: I have 150 rows of numeric precision comparison records with source_value and transformed_value columns, grouped into 'group-a' and 'group-b' by date — can you give me a grouped summary and a trailing mean series using a window of 5 on the source_value field?

## When to prefer this

Choose this endpoint when you need both a grouped aggregate summary and a rolling/trailing mean trend in a single call for numeric comparison pairs (source vs transformed). It is ideal for ETL validation, data quality checks, and transformation accuracy monitoring where you have up to 200 dated rows organized into named groups. Prefer it over single-report alternatives when you want two complementary views — group-level statistics and temporal smoothing — for the same dataset in one $0.01 USDC request.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 — validation error
- window larger than number of rows — trailing mean series may return insufficient data points
- Malformed JSON body — parse error
- Missing required fields (row_id, dataset_group, date) — validation failure

## How this service works

Numeric precision comparisons — Grouped numeric summary + Trailing mean series: Grouped numeric summary + 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) a grouped numeric summary breaking down statistics per dataset_group, and (2) a trailing mean time series computed over the selected field (source_value or transformed_value) using the specified rolling window size — 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
  },
  "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-grouped-summary-trailing-mean-analytics-518b0487/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)