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Token Observed Price Change — Sequential Input-Change Attribution
x402
Token Observed Price Change — 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 2026-10-16).
Performs sequential input-change (waterfall) attribution to explain how changes in token price inputs contribute to an observed price change between two states.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token observed price change — Sequential input-change attribution: Sequential input-change attribution for Token observed price change. 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.
Output
Returns a bounded sequential input-change attribution report that shows, step by step, how changing each input from its baseline to its final value contributed to the observed token price change. May include a deterministic calculation or a threshold-based verdict. Does not include live market data, safety assessments, or trade recommendations.
Example use cases
Explain token price movement to stakeholders
“My token was previously priced at 1.0 with a current price of 1.2, and now the previous price is 1.1 and current price is 1.32 — can you run a waterfall attribution to show how each input change drove the overall price movement?”
Audit price change before reporting
“Before I publish my token performance report, run a sequential input-change attribution: the before state had previous_price 0.5 and current_price 0.75, and the after state has previous_price 0.6 and current_price 0.95. I need to see exactly which input shift accounts for what portion of the price change.”
Threshold verdict on price change contribution
“I need to know if the input changes in my token pricing are within acceptable bounds — before state was previous_price 100 and current_price 120, after state is previous_price 110 and current_price 125. Give me the sequential attribution breakdown and flag whether any input crossed a meaningful threshold.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-price-change-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, explainable breakdown of how individual token price inputs contributed sequentially to an observed price change — particularly for audit trails, reporting, or threshold-based decisions. Prefer this over live-scan or ML-based attribution tools when reproducibility and cost-efficiency ($0.01 USDC) matter more than real-time signals.
Side effects
- Missing required fields (current_price or previous_price in before/after objects) returns a validation error
- Prices at or below zero are rejected (exclusiveMinimum: 0)
- Prices exceeding the maximum value boundary may be rejected
- Payment not processed or insufficient USDC balance blocks the request
- Identical before and after states return a zero-change attribution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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