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Token Average Reported Trade Notional — Distribution Histogram
x402
Token Average Reported Trade Notional — Distribution Histogram 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).
Computes a distribution histogram of average reported trade notional (volume_usd / trades) across supplied token observations, bucketed into a configurable number of bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token average reported trade notional — Distribution histogram: Distribution histogram for Token average reported trade 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 distribution histogram report.
Output
A bounded distribution histogram report showing how average trade notional values (volume_usd divided by trades) are distributed across the supplied token observations, organized into the requested number of bins with frequency counts or density per bin.
Example use cases
Token trade size concentration analysis
“I have 8 tokens with their total volume and trade counts — can you bucket their average trade notional into 10 bins so I can see how concentrated the trade sizes are? Here's the data: [{volume_usd:50000,trades:100},{volume_usd:200000,trades:150},{volume_usd:75000,trades:300},{volume_usd:500000,trades:200},{volume_usd:30000,trades:600},{volume_usd:1000000,trades:400},{volume_usd:150000,trades:250},{volume_usd:80000,trades:80}]”
Comparing whale vs retail token activity
“I want to see if average trade sizes cluster into small retail and large whale buckets — run a 5-bin histogram on these token observations: [{volume_usd:20000,trades:800},{volume_usd:5000000,trades:50},{volume_usd:15000,trades:600},{volume_usd:4500000,trades:45},{volume_usd:18000,trades:750}]”
Pre-listing token market structure review
“Before we list these tokens, can you compute a distribution histogram with 8 bins of the average reported trade notional using these observations: [{volume_usd:300000,trades:1200},{volume_usd:450000,trades:900},{volume_usd:220000,trades:1100},{volume_usd:600000,trades:800},{volume_usd:180000,trades:1400}]?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-mean-trade-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected token-level trade data (volume and trade count pairs) and need a statistical distribution histogram of average trade notional. It is deterministic and operates only on caller-supplied data — no live market scanning. Prefer this over live-scan tools when you want a reproducible, offline bucketing of your own dataset.
Side effects
- Fewer than 2 row observations provided — minimum 2 rows required
- More than 200 rows supplied — request will be rejected
- trades or volume_usd set to zero or negative — both must be strictly positive
- bins value exceeds 30 or is less than 1 — out of range
- Malformed row objects missing required volume_usd or trades fields
- Payment of 0.01 USDC not completed — x402 payment required before response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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