# Numeric Precision Comparisons — Daily Sum Series + Trailing Mean Series

> Numeric Precision Comparisons — Daily Sum Series + 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).

Computes daily sum series and trailing mean series for numeric precision comparison records (source_value vs transformed_value) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-136?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-trailing-mean-series-b49bdf64
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cd5zu1sKyjr0rG2KgqvQy

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-trailing-mean-series-b49bdf64 -d '<json body>'
```

Example prompt: I have 4 rows of numeric precision comparison data — dates from 2026-10-01 to 2026-10-04, source values [10, 20, 15, 30] and transformed values [1, 2, 3, 4] in groups group-a and group-b — can you run the daily sum series and trailing mean series reports on source_value with a window of 2?

## When to prefer this

Choose this endpoint when you need both a daily sum aggregation and a rolling/trailing mean computed together on a small-to-medium dataset (≤200 rows) of numeric precision comparison pairs (source vs transformed) without requiring any external data lookup or live service. It is ideal for validating ETL transformations, spotting numeric drift over time, or auditing rounding/precision changes in a data pipeline at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted returns a validation error
- Invalid date format (not YYYY-MM-DD) causes a schema rejection
- source_value or transformed_value outside the ±1,000,000,000,000 range causes a validation error
- window value less than 2 or greater than 200 is rejected
- field value not in ['source_value','transformed_value'] enum causes rejection
- Missing required row fields (row_id, dataset_group, date) returns a schema error

## How this service works

Numeric precision comparisons — Daily sum series + Trailing mean series: Daily sum series + 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 for the supplied rows: (1) a daily sum series aggregating the chosen field by date, and (2) a trailing (rolling) mean series for the chosen field over the specified window size. Both reports are computed locally on the submitted data with no external lookups. Output covers up to 200 rows.

## 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-daily-sum-series-trailing-mean-series-b49bdf64/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)