# Numeric Precision Comparisons — Duplicate Key Report + Trailing Mean Series

> Numeric Precision Comparisons — Duplicate Key Report + 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).

Analyzes up to 200 rows of source/transformed numeric pairs to produce a duplicate key report and a trailing mean series for a chosen field.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-061?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-duplicate-key-report-trailing-mean-series-bb21d6f2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UVbrx73Sd6PIj7tkYGNJW

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-duplicate-key-report-trailing-mean-series-bb21d6f2 -d '<json body>'
```

Example prompt: Can you run a duplicate key report and a trailing mean series on this dataset — I have 50 rows each with a row_id, dataset_group, date, source_value, and transformed_value, and I want the trailing mean computed on source_value with a window of 3?

## When to prefer this

Choose this endpoint when you need both a duplicate key check and a rolling/trailing mean computed in a single call over a batch of up to 200 numeric source-vs-transformed records, without needing any external data sources, live lookups, or predictions. It is ideal for ETL validation workflows, data quality checks before loading, and quick analytical summaries of numeric precision comparison datasets.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- window value outside 2–200 range — rejected with bounds error
- Numeric values outside ±1,000,000,000,000 — schema validation failure
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — rejected

## How this service works

Numeric precision comparisons — Duplicate key report + Trailing mean series: Duplicate key report + 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: (1) a duplicate key report identifying any row_ids that appear more than once across the supplied rows, and (2) a trailing mean series computed over the chosen field (source_value or transformed_value) using the specified window size. Both reports are derived entirely 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-duplicate-key-report-trailing-mean-series-bb21d6f2/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)