# Mining Reward After Pool Fee — IQR Outlier Flags

> Mining Reward After Pool Fee — IQR Outlier Flags 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).

Detects IQR-based statistical outliers in net Bitcoin mining rewards after pool fee deductions across a batch of mining scenarios.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-mining-pool-net-btc-outliers?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/mining-reward-after-pool-fee-iqr-outlier-flags-3f03147d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xherY_jiIYjlUeuT8v5eN

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 mining-reward-after-pool-fee-iqr-outlier-flags-3f03147d -d '<json body>'
```

Example prompt: I have 4 mining scenarios — gross BTC rewards of 0.01 and 0.011 with pool fees of 2% and 2.2% respectively — can you run IQR outlier flagging on the net rewards after pool fees to see which scenarios are statistical anomalies?

## When to prefer this

Choose this endpoint when you need to statistically flag outlier net mining rewards across a batch of scenarios using the IQR method, with pool fees already known. It is purpose-built for mining reward distributions and does not require live price data or external market feeds. Prefer it over generic statistics APIs when working specifically with BTC gross rewards and percentage-based pool fees.

## Known failure modes

- Fewer than 2 rows provided — minimum row count not met
- gross_btc value of 0 or below — exclusiveMinimum violated
- pool_fee_percent exceeds 100 — out of valid range
- More than 200 rows submitted — maxItems exceeded
- Missing required fields gross_btc or pool_fee_percent in any row
- Payment not processed — x402 payment required before response

## How this service works

Mining reward after pool fee — IQR outlier flags: IQR outlier flags for Mining reward after pool fee. Supplied mining assumptions only; formula and units disclosed. No live prices, mining or guaranteed return. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded iqr outlier flags report.

## Output

Returns IQR outlier flags for each input row, indicating whether the net BTC mining reward (gross BTC minus pool fee) is a statistical outlier based on interquartile range analysis. Includes the computed net reward values and bounding information used to classify each record.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "gross_btc",
     "pool_fee_percent"
    ],
    "properties": {
     "gross_btc": {
      "type": "number",
      "default": 0.01,
      "maximum": 10000000000000000,
      "minimum": 0,
      "exclusiveMinimum": 0
     },
     "pool_fee_percent": {
      "type": "number",
      "default": 2,
      "maximum": 100,
      "minimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "gross_btc": 0.01,
     "pool_fee_percent": 2
    },
    {
     "gross_btc": 0.011000000000000001,
     "pool_fee_percent": 2.2
    },
    {
     "gross_btc": 0.01,
     "pool_fee_percent": 2
    },
    {
     "gross_btc": 0.011000000000000001,
     "pool_fee_percent": 2.2
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/mining-reward-after-pool-fee-iqr-outlier-flags-3f03147d/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)
