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Pool Payout vs Expected Reward — IQR Outlier Flags
x402
Pool Payout vs Expected Reward — 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 mining pool payout records by comparing received BTC against expected BTC reward amounts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pool payout versus expected reward — IQR outlier flags: IQR outlier flags for Pool payout versus expected reward. 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
A bounded IQR outlier flags report identifying which payout rows fall outside the interquartile range when comparing received BTC to expected BTC. Each flagged record indicates a statistically anomalous deviation in pool payout. No live prices or guaranteed return projections are included.
Example use cases
Audit mining pool payment accuracy
“I've been tracking my mining pool payouts for the past month — can you compare my received BTC to expected BTC for each payout and flag any IQR outliers that look suspicious? Here's the data: [{received_btc: 0.011, expected_btc: 0.01}, {received_btc: 0.009, expected_btc: 0.011}, {received_btc: 0.022, expected_btc: 0.01}].”
Detect underpayment anomalies from pool
“I suspect my mining pool occasionally underpays. Can you run IQR outlier detection on these received vs expected BTC reward pairs and tell me which payouts deviate abnormally? Rows: [{received_btc: 0.0095, expected_btc: 0.01}, {received_btc: 0.0101, expected_btc: 0.01}, {received_btc: 0.005, expected_btc: 0.01}, {received_btc: 0.0099, expected_btc: 0.01}].”
Validate pool reward consistency over time
“I want to check whether my pool rewards have been consistent — please flag any statistical outliers using the IQR method across these received vs expected BTC pairs: [{received_btc: 0.011, expected_btc: 0.011}, {received_btc: 0.0121, expected_btc: 0.011}, {received_btc: 0.03, expected_btc: 0.011}, {received_btc: 0.011, expected_btc: 0.011}].”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-pool-deviation-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, formula-based IQR statistical outlier detection specifically for mining pool payout records comparing received vs expected BTC. Ideal for auditing pool payment accuracy, detecting anomalous under/overpayments, or validating reward consistency without needing live price feeds or complex mining calculators. Best suited for batch analysis of 2–200 payout records at low cost ($0.01 per call).
Side effects
- Fewer than 2 rows provided — minimum 2 rows required
- More than 200 rows submitted — exceeds maxItems limit
- Zero or negative values for received_btc or expected_btc — exclusiveMinimum:0 violated
- Missing required fields received_btc or expected_btc in any row
- Malformed JSON input causing schema validation failure
- Payment failure — insufficient USDC balance for $0.01 per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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