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Unique Token Traders per Trade — Benchmark Correlation
x402
Unique Token Traders per Trade — 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 2026-10-13).
Computes benchmark correlation for the ratio of unique token traders to trade count across a series of observations, comparing results against user-supplied benchmark values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unique observed token traders per trade — Benchmark correlation: Benchmark correlation 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 benchmark correlation report.
Output
Returns a bounded benchmark correlation report quantifying how closely the ratio of unique token traders to trade count aligns with each supplied benchmark value across the provided observation rows. The report is deterministic and pre-calculated — not a live scan or trade recommendation.
Example use cases
Token market diversity health check
“I have 6 months of daily token trade data with unique trader counts and total trade counts. Can you run a benchmark correlation report against industry reference ratios of 0.05, 0.10, 0.15, and 0.20 to see how our token's trader diversity stacks up?”
Comparing trading patterns across two tokens
“I want to compare the unique-traders-to-trade ratio for two tokens — token A had observations [{trade_count:500,unique_traders:50},{trade_count:600,unique_traders:55}] and token B had [{trade_count:500,unique_traders:80},{trade_count:600,unique_traders:90}] — benchmark both against 0.10 and 0.15 to see which correlates better.”
Validating model thresholds for trader concentration
“Our model predicts unique trader ratios should cluster around benchmarks of 10, 25, and 50. Can you run the benchmark correlation calculation on these four observations [{trade_count:2000,unique_traders:200},{trade_count:2500,unique_traders:220},{trade_count:1800,unique_traders:195},{trade_count:3000,unique_traders:280}] and tell me how well they match those thresholds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-unique-trade-ratio-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, bounded benchmark correlation specifically for the ratio of unique token traders to total trade count, and you already have structured observation data with trade_count and unique_traders fields. It is purpose-built for token market diversity analytics with preset benchmark comparison logic, making it more direct than building a general-purpose correlation from scratch.
Side effects
- Fewer than 2 row observations provided — minimum 2 rows required
- Fewer than 2 benchmark values provided — minimum 2 benchmarks required
- trade_count of 0 or negative supplied — exclusiveMinimum enforced
- More than 200 rows or 200 benchmarks supplied — maxItems exceeded
- Missing required fields unique_traders or trade_count in any row — schema validation error
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| benchmarks | array |
Tags
x402
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