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Token Buy-to-Sell Activity Ratio — IQR Outlier Flags
x402
Token Buy-to-Sell Activity Ratio — IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Calculates interquartile range (IQR) outlier flags for a series of token buy-to-sell activity ratios from supplied buy and sell count observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token buy-to-sell activity ratio — IQR outlier flags: IQR outlier flags for Token buy-to-sell activity ratio. 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 iqr outlier flags report.
Output
A bounded report containing IQR outlier flags for each supplied token observation row, indicating which rows have buy-to-sell ratios that fall outside the interquartile range threshold. Each flag reflects a deterministic statistical calculation based solely on the provided data — not a live scan, safety proof, or trade recommendation.
Example use cases
Detecting wash trading spikes in token data
“I've collected buy and sell counts for a token across 20 time windows — can you run IQR outlier detection on the buy-to-sell ratios and tell me which windows look statistically anomalous?”
Screening token list for unusual activity
“Here are buy and sell counts from 15 different tokens over the same period. Flag any whose buy-to-sell ratio is an IQR outlier so I can investigate them further.”
Validating trading data before backtesting
“Before I run my backtest, I want to make sure none of my token observation rows have extreme buy-to-sell ratios that might skew results — can you flag any IQR outliers in this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-buy-sell-ratio-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, deterministic, statistically grounded IQR-based outlier detection specifically on token buy-to-sell activity ratios from your own supplied data. It is not a live market scanner or safety oracle — prefer it when you already have a batch of token observations and need to programmatically flag statistical anomalies for further review. It is ideal for pipelines doing pre-processing, data quality checks, or anomaly screening on crypto trading datasets.
Side effects
- Fewer than 2 rows provided — minItems violation returns validation error
- sell_count of 0 violates exclusiveMinimum constraint and is rejected
- buy_count or sell_count exceeds maximum value of 1e16 and is rejected
- More than 200 rows submitted — maxItems exceeded returns error
- Missing required buy_count or sell_count fields in any row causes schema validation failure
- Non-numeric values in buy_count or sell_count fields cause type errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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