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Token Average Reported Trade Notional — Weighted Mean Calculator
x402
Token Average Reported Trade Notional — Weighted Mean Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes a weighted arithmetic mean of token average reported trade notional (volume_usd / trades) across multiple data rows using caller-supplied weights.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token average reported trade notional — Weighted result mean: Weighted result mean 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 weighted result mean report.
Output
Returns a single weighted mean value representing the average reported trade notional (volume_usd divided by trades) across all input rows, blended according to the provided weights. The result is a deterministic scalar computed from the supplied observations.
Example use cases
Weighted notional mean across trading sessions
“I have token trading data for 3 sessions: session 1 had 150 trades and $75,000 volume, session 2 had 300 trades and $180,000 volume, session 3 had 250 trades and $125,000 volume. Weight them 1, 3, 2. What's the weighted mean average trade notional?”
Comparing recency-weighted trade size
“Can you compute the weighted average trade notional for my token across 5 daily observations? Trades were 100, 120, 140, 160, 180 and volumes were $50K, $60K, $70K, $80K, $90K — apply increasing weights 1, 1, 2, 3, 5 so recent days matter more.”
Equal-weight baseline notional summary
“I have two token trading snapshots: first has 500 trades and $250,000 volume, second has 800 trades and $480,000 volume. Give me the weighted mean average trade notional with equal weights of 1 each.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-mean-trade-weighted-mean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, weighted aggregation of token trade notional across multiple discrete observations or time periods, and you want fine-grained control over how much each observation contributes to the final mean. It is ideal for recency-weighting, importance-weighting, or volume-tiered averaging of crypto trade data without building the computation yourself. Prefer it over raw averaging when observations have unequal significance.
Side effects
- Missing required fields (volume_usd or trades) in any row returns a validation error
- Fewer than 2 rows or 2 weights provided triggers a minItems constraint failure
- trades or volume_usd value of exactly 0 is rejected due to exclusiveMinimum constraint
- Mismatched array lengths between rows and weights may cause a computation error
- Exceeding 200 rows or weights triggers a maxItems constraint failure
- Weights containing negative values are rejected by the minimum:0 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| weights | array |
Tags
x402
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