Token Average Reported Trade Notional — Benchmark Correlation 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 the Pearson or similar correlation between a token's average reported trade notional (volume/trades per row) and a supplied benchmark series, returning a bounded correlation report.
Token average reported trade notional — Benchmark correlation: Benchmark correlation 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 benchmark correlation report.
Returns a bounded benchmark correlation report containing the correlation coefficient between the derived average trade notional series (volume_usd / trades per row) and the supplied benchmark array, along with any threshold-based verdict. The result is a deterministic calculation — not a live scan or trade recommendation.
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-mean-trade-correlation?utm_source=zero.xyzChoose this endpoint when you have paired (volume_usd, trades) observations for a token and want a deterministic statistical correlation against a numeric benchmark series. It is purpose-built for token market microstructure analysis — specifically average notional per trade — rather than general-purpose statistical libraries or broader market analytics platforms. Prefer it for quick, low-cost ($0.01 USDC) bounded correlation reports without needing to spin up custom compute.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| benchmarks | array |
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