Token Execution Fee Burden Waterfall — 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 sequential (waterfall) attribution of how changes in fee_usd and notional_usd individually drive the change in a token's execution fee burden (fee relative to notional).
Token execution fee relative to notional — Sequential input-change attribution: Sequential input-change attribution for Token execution fee relative to notional. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded sequential input-change attribution report.
A deterministic sequential input-change attribution report showing how each input variable (fee_usd and notional_usd) individually contributed to the overall change in the token execution fee burden (fee/notional ratio) between the before and after states, following a waterfall decomposition methodology.
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-fee-burden-waterfall?utm_source=zero.xyzUse this endpoint when you need a deterministic, ordered decomposition of what drove a change in token execution fee burden between two snapshots — specifically when you want to isolate the marginal contribution of the fee amount versus the notional trade size. Prefer this over generic ratio-change calculators when you need a structured waterfall attribution report rather than just a delta, and when you want a caller-supplied input comparison (not a live market scan or trade recommendation).
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
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