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Token Buy Volume Fraction — IQR Outlier Flags
x402
Token Buy Volume Fraction — 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 2026-10-16).
Calculates IQR-based outlier flags for the buy volume fraction (buy_volume / total_volume) across a supplied set of token trading observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token buy volume fraction — IQR outlier flags: IQR outlier flags for Token buy volume fraction. 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
Returns per-row IQR outlier flags indicating whether each observation's buy volume fraction (buy_volume / (buy_volume + sell_volume)) is an outlier based on the interquartile range method. Each row is classified as an outlier or not, using a deterministic calculation against caller-supplied or preset thresholds.
Example use cases
Detecting wash trading sessions
“I have a list of hourly buy and sell volumes for a token over the past week — can you run IQR outlier detection on the buy volume fraction to flag any hours that look statistically unusual?”
Pre-trade data sanity check
“Before I analyze this token's momentum, can you check these 20 buy/sell volume observations for IQR outliers in the buy volume share so I can filter out any anomalous data points first?”
Monitoring buy pressure spikes
“I've got 50 trading sessions for this altcoin with buy and sell volumes recorded — flag any sessions where the buy volume fraction is an IQR outlier so I can investigate potential pump activity.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-buy-volume-share-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of token trading observations with buy and sell volumes and need a fast, deterministic, statistically grounded method (IQR) to identify which rows have anomalous buy volume fractions. Prefer this over custom statistical scripts when you need a cheap ($0.01 USDC), bounded, reproducible outlier report without building your own quartile logic. Best suited for up to 200 observations per call.
Side effects
- Fewer than 2 rows supplied — minimum 2 observations required
- More than 200 rows supplied — exceeds maxItems limit
- buy_volume or sell_volume is zero or missing — exclusiveMinimum > 0 required
- Values exceed maximum of 1e16 — out of range error
- Malformed row objects with extra properties — rejected due to additionalProperties:false
- Insufficient variation in data for meaningful IQR computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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