# Numeric Precision Comparisons — Daily Sum Series + Date by Category Pivot

> Numeric Precision Comparisons — Daily Sum Series + Date by Category Pivot 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).

Generates two analytical reports (daily sum time series and date-by-category pivot table) from user-supplied numeric precision comparison data (source_value vs transformed_value) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-143?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-date-by-category-pivot-01465fc8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Yg4ZGkmG28NLS_GjkEpQ3

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-date-by-category-pivot-01465fc8 -d '<json body>'
```

Example prompt: Can you run two analytics reports on my numeric comparison data — a daily sum time series and a date-by-category pivot — using source_value as the field? I have 4 rows: row-1 on 2026-10-01 with source 10 and transformed 1 in group-a, row-2 on 2026-10-02 with source 20 and transformed 2 in group-b, row-3 on 2026-10-03 with source 15 and transformed 3 in group-a, and row-4 on 2026-10-04 with source 30 and transformed 4 in group-b.

## When to prefer this

Choose this endpoint when you have a batch of numeric records with source and transformed values organized by date and category, and you need both a time-series daily aggregate and a cross-tabulated pivot in a single call. Ideal for ETL auditing, data transformation QA, and precision drift analysis where you want two complementary views without setting up a local analytics environment. Best suited for datasets up to 200 rows where a quick, low-cost ($0.01 USDC) dual-report is sufficient.

## Known failure modes

- Fewer than 1 row or more than 200 rows causes a validation error
- Malformed date strings (not YYYY-MM-DD) are rejected
- source_value or transformed_value outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, dataset_group, date) cause schema validation failure
- Invalid field enum value (anything other than 'source_value' or 'transformed_value') is rejected

## How this service works

Numeric precision comparisons — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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 from the supplied rows: (1) a daily sum series showing totals of the selected field (source_value or transformed_value) aggregated by date, and (2) a date-by-category pivot table cross-tabulating the selected field by date and dataset_group. No external data is fetched; all computation is done on the provided rows (up to 200).

## 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-date-by-category-pivot-01465fc8/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)