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Unique Token Traders Per Trade — Sequential Input-Change Attribution
x402
Unique Token Traders Per Trade — 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 2026-10-14).
Computes a sequential input-change attribution report for the unique observed token traders per trade ratio, comparing before/after observation snapshots.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unique observed token traders per trade — Sequential input-change attribution: Sequential input-change attribution for Unique observed token traders per trade. 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
A deterministic sequential input-change attribution report showing how changes in unique_traders and trade_count inputs between the before and after snapshots contribute to the overall change in the unique traders per trade ratio, broken down in waterfall/attribution format. No live scan or safety judgment is included.
Example use cases
Token launch trader engagement analysis
“I want to see the attribution breakdown for how unique traders per trade shifted after our token launch — before we had 500 unique traders and 2000 trades, and after we had 750 unique traders and 2500 trades. Run the sequential input-change waterfall report.”
Post-campaign trader ratio attribution
“After running that influencer campaign, our token went from 200 unique traders across 800 trades to 320 unique traders across 1100 trades. Can you attribute how much of the ratio change came from each input variable?”
Market downturn trader density shift
“During last week's market dip our token dropped from 1000 unique traders over 5000 trades to 600 unique traders over 4200 trades. Show me the sequential input-change attribution for the unique traders per trade ratio so I can see what drove the shift.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-unique-trade-ratio-waterfall?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a deterministic, bounded attribution analysis of how changes in unique trader count and trade volume drove a shift in the unique-traders-per-trade ratio between two specific observation snapshots for a token. Prefer it over generic analytics tools when you need a reproducible, caller-supplied-data waterfall calculation with no dependency on live market feeds or external data sources.
Side effects
- trade_count of 0 or missing (exclusiveMinimum:0 enforced — will error)
- unique_traders or trade_count out of allowed range (0 to 1e16)
- Missing required fields in before or after objects
- Malformed JSON body — returns 4xx error
- Payment not processed — returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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