# Numeric Precision Comparisons — Daily Sum Series & Adjacent Row Changes

> Numeric Precision Comparisons — Daily Sum Series & Adjacent Row Changes 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).

Runs two local analytical reports (daily sum series and adjacent row changes) on supplied source_value/transformed_value numeric data, up to 200 rows, for $0.01 USDC.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-137?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-adjacent-row-changes-6458a17f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ei4mPbUwmcqBxTNm4MX_a

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-adjacent-row-changes-6458a17f -d '<json body>'
```

Example prompt: I have 4 rows of source and transformed values by date — can you run the daily sum series and adjacent row change reports on source_value for this dataset: row-1 2026-10-01 group-a source=10 transformed=1, row-2 2026-10-02 group-b source=20 transformed=2, row-3 2026-10-03 group-a source=15 transformed=3, row-4 2026-10-04 group-b source=30 transformed=4?

## When to prefer this

Choose this endpoint when you need lightweight, offline analytical summaries (daily aggregation + row-to-row deltas) on a small-to-medium numeric dataset (up to 200 rows) with source and transformed value pairs, without requiring any external data enrichment, live lookups, or predictions. Ideal for ETL audits, data quality checks, and time-series spot-checks at very low cost ($0.01 USDC for both reports).

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, dataset_group, source_value, transformed_value) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Empty rows array — minItems constraint violation
- Invalid field enum value (not source_value or transformed_value) — schema error

## How this service works

Numeric precision comparisons — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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: (1) a daily sum series aggregating the chosen field (source_value or transformed_value) by date across all supplied rows, and (2) an adjacent row changes report showing the delta between consecutive rows — all 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-adjacent-row-changes-6458a17f/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)