# Numeric Precision Comparisons — Record Quality Audit + Daily Sum Series

> Numeric Precision Comparisons — Record Quality Audit + Daily Sum 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).

Runs two analytical reports (record quality audit and daily sum series) on supplied numeric source/transformed value pairs, up to 200 rows, using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-009?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-record-quality-audit-daily-sum-series-fb2e1d68
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TIYxKdXsU4-tZlVIB-T7K

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-record-quality-audit-daily-sum-series-fb2e1d68 -d '<json body>'
```

Example prompt: Run a record quality audit and daily sum series on these 10 rows of source and transformed values — row IDs row-1 through row-10, dates from 2025-01-01 to 2025-01-10, dataset group 'sales-etl', and analyze the source_value field. I want both reports in one shot.

## When to prefer this

Choose this endpoint when you need both a record-level quality audit and a daily aggregation series computed together in a single call for up to 200 rows of numeric source/transformed value pairs. It is ideal for ETL validation, data transformation QA, and daily summation checks where no external data lookup or prediction is needed. Prefer it over manual computation when you want a structured two-report output at low cost ($0.01 USDC for both).

## Known failure modes

- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 range rejected
- Invalid field enum value (not 'source_value' or 'transformed_value') causes error
- row_id missing or empty string fails minLength validation
- Payment of 0.01 USDC not supplied or rejected causes 402 response

## How this service works

Numeric precision comparisons — Record quality audit + Daily sum series: Record quality audit + Daily sum 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: (1) a record quality audit that assesses each supplied row for precision discrepancies between source and transformed values, and (2) a daily sum series that aggregates the specified numeric field by date across all supplied rows. Both reports are computed locally without external lookups or predictions.

## 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-record-quality-audit-daily-sum-series-fb2e1d68/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)