# Numeric Precision Comparisons — Daily Sum Series + Base-100 Series

> Numeric Precision Comparisons — Daily Sum Series + Base-100 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 two analytical reports (daily sum series and base-100 index series) for supplied numeric precision comparison data rows (source_value vs transformed_value), up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-138?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-base-100-series-866e89d4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Hg7oM54UYgBY8QB6wgS9z

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-base-100-series-866e89d4 -d '<json body>'
```

Example prompt: Run both the daily sum series and base-100 index reports on my numeric comparison data — I have 4 rows with dates from 2026-10-01 to 2026-10-04, source values 10, 20, 15, 30 and transformed values 1, 2, 3, 4, grouped into group-a and group-b, using source_value as the field and row 0 as the base index.

## When to prefer this

Choose this endpoint when you need two simultaneous local analytical computations — a daily sum series and a base-100 index — on a batch of numeric comparison rows (source vs transformed values) without requiring live data lookup, external enrichment, or professional assessment. Ideal for ETL validation, data quality checks, and precision auditing workflows where you already have the data and need fast, deterministic aggregation and indexing at low cost ($0.01 USDC for both reports).

## Known failure modes

- Missing required row fields (row_id, date, source_value, transformed_value, dataset_group) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Input array exceeding 200 items returns an error
- base_index pointing to a row index outside the supplied array bounds may cause computation errors
- Null values in the selected field may affect aggregation accuracy

## How this service works

Numeric precision comparisons — Daily sum series + Base-100 series: Daily sum series + Base-100 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 from the supplied rows: (1) a daily sum series aggregating the selected field by date, and (2) a base-100 index series normalizing the selected field relative to the specified base row index. Up to 200 input rows are supported per call.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-daily-sum-series-base-100-series-866e89d4/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)