# Numeric Precision Comparisons — Numeric Distribution + Daily Sum Series

> Numeric Precision Comparisons — Numeric Distribution + Daily Sum 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 user-supplied numeric precision comparison data (source vs. transformed values) to produce two local analytical reports: a numeric distribution breakdown and a daily sum time series.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-075?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-numeric-distribution-daily-sum-series-8cef140e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WIfAUw4oGw-3yYywEjNMW

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-numeric-distribution-daily-sum-series-8cef140e -d '<json body>'
```

Example prompt: Can you run a numeric distribution and daily sum series analysis on these precision comparison rows — I have source_value and transformed_value pairs across dates in group-a and group-b, up to 200 rows — and analyze the source_value field?

## When to prefer this

Choose this endpoint when you have up to 200 rows of paired numeric data (source and transformed values) with date and group labels and want two bundled analytical reports — distribution and daily sum series — computed locally with no external dependencies, all for $0.01 USDC. It is ideal for data quality audits, ETL validation, or transformation QA where you need a quick statistical snapshot rather than real-time lookups, predictions, or external enrichment.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, dataset_group, date, source_value, or transformed_value) on any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric values outside allowed range (-1e12 to 1e12) — schema violation
- Invalid field selector enum value (must be 'source_value' or 'transformed_value')
- All values null for selected field — distribution and sum series cannot be computed

## How this service works

Numeric precision comparisons — Numeric distribution + Daily sum series: Numeric distribution + Daily sum 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 computed locally on the supplied rows: (1) a numeric distribution report showing statistical spread, frequency buckets, and key percentiles for the selected field; and (2) a daily sum series aggregating the selected field's values by date. Both reports cover up to 200 input rows with no external lookups or live data.

## 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-numeric-distribution-daily-sum-series-8cef140e/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)