# Numeric Precision Comparisons — Daily Sum Series + Secondary-Measure Weighted Mean

> Numeric Precision Comparisons — Daily Sum Series + Secondary-Measure Weighted Mean 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 daily sum time series and a secondary-measure weighted mean for up to 200 rows of numeric precision comparison data (source_value vs transformed_value).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-142?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-daily-sum-series-secondary-measure-750cb0b3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dw24XK6sLwZE6fr1kVEIA

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-daily-sum-series-secondary-measure-750cb0b3 -d '<json body>'
```

Example prompt: Can you run the daily sum series and weighted mean analysis on my numeric precision comparison data? I have 4 rows across group-a and group-b from 2026-10-01 to 2026-10-04, with source_values of 10, 20, 15, 30 and transformed_values of 1, 2, 3, 4 — use source_value as the primary field.

## When to prefer this

Choose this endpoint when you need to compare source and transformed numeric values across dates using both a daily sum aggregation and a weighted mean in a single paid call, with no need for external data or live lookups. Ideal for ETL validation, data quality audits, and precision-loss analysis on small-to-medium datasets (≤200 rows). Prefer alternatives if you need rolling means, outlier detection, deduplication, or more than 200 rows.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- date field does not match YYYY-MM-DD pattern — validation error
- source_value or transformed_value outside ±1,000,000,000,000 — rejected
- Missing required fields (row_id, dataset_group, date) — schema validation error
- Payment not completed or insufficient USDC — request not processed

## How this service works

Numeric precision comparisons — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean 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 analytical reports for the supplied rows: (1) a daily sum series aggregating the chosen field (source_value or transformed_value) by date, and (2) a secondary-measure weighted mean using the complementary numeric column as weights. Results are computed locally from 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-daily-sum-series-secondary-measure-750cb0b3/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)