Security Math – Bloom Filter Sizing is a paid API for AI agents from security-math.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-21).
Calculates optimal Bloom filter parameters (bits, bytes, hash count, false-positive rate) given item count and target false-positive probability, or evaluates a given filter size.
Bloom filter sizing: bits, bytes and hash count for n items at a false-positive rate, or the rate for a given size.
Returns a structured object with the computed filter size in bits (mBits) and bytes (mBytes), optimal hash function count (optimalK), actual hash count used (kUsed), resulting false-positive rate, bits per item, fill ratio, target false-positive rate, and a human-readable summary string. May include degraded flag, reasons, verdict, and disclaimer fields.
GEThttps://security-math.x402tookit.com/bloom-filter?utm_source=zero.xyzUse this endpoint when you need mathematically precise Bloom filter sizing — specifically when you want to derive bits, bytes, and hash count from item count and false-positive probability (or vice versa), rather than estimating by rule of thumb. Prefer it over generic calculators when you need the full parameter set (mBits, mBytes, optimalK, fill ratio, bitsPerItem) in a machine-readable format suitable for automated infrastructure sizing or system design decisions.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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