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Solo Reward Poisson Standard Deviation — Sequential Input-Change Attribution
x402
Solo Reward Poisson Standard Deviation — Sequential Input-Change Attribution 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).
Computes a waterfall-style sequential input-change attribution report for the Poisson standard deviation of a solo Bitcoin mining reward, given before and after mining assumptions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solo reward Poisson standard deviation — Sequential input-change attribution: Sequential input-change attribution for Solo reward Poisson standard deviation. 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 sequential input-change attribution report.
Output
A bounded sequential input-change attribution report showing how the change in each supplied mining input (reward_btc and expected_blocks) individually contributes to the total change in the Poisson standard deviation of the solo mining reward, presented as a waterfall decomposition. Formula and units are disclosed; no live prices or guaranteed return data are included.
Example use cases
Solo miner scenario comparison
“I'm modeling two solo mining scenarios: before I was assuming 3.125 BTC reward and 4 expected blocks, now I'm bumping to 3.4375 BTC and 4.4 blocks. Give me a waterfall breakdown of how much each input change contributed to the shift in Poisson standard deviation.”
Block count sensitivity audit
“I only changed my expected block count from 4 to 4.4, keeping reward at 3.125 BTC. Run a sequential input-change attribution on the Poisson std dev so I can see exactly how much that block assumption change is responsible for.”
Reward halving impact on variance
“After the halving, my solo reward assumption dropped from 6.25 BTC to 3.125 BTC with expected blocks staying at 4. Can you run the sequential attribution waterfall to show how that reward change alone shifted the Poisson standard deviation of my solo mining earnings?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-reward-deviation-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand not just how the Poisson standard deviation of a solo mining reward changed between two scenarios, but specifically which input (reward_btc vs expected_blocks) was responsible for how much of that change — i.e., you want a sequential waterfall attribution rather than a simple before/after delta or a weighted mean comparison. Prefer it over the single-calculation or batch endpoints when the goal is causal decomposition of a two-scenario shift.
Side effects
- Missing required field in 'before' or 'after' object returns a validation error
- reward_btc or expected_blocks set to zero or negative violates exclusiveMinimum constraint
- Malformed JSON body returns a 400-level error
- Payment not included or insufficient USDC results in a 402 Payment Required response
- Extremely large numeric values may produce overflow or precision issues
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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