/**
 * Zero-dependency fuzzy string matching — Jaro-Winkler similarity. For approximate
 * name matching against a list (sanctions / KYC / watchlist screening, dedup,
 * entity resolution) WITHOUT an LLM call: deterministic, auditable, and cheap.
 *
 * ```ts
 * import { fuzzyMatchList } from '@agentskit/core'
 * const hits = fuzzyMatchList('Vladimir Putin', sanctionsList, { threshold: 0.9 })
 * if (hits.length) block() // never auto-clear an approximate match
 * ```
 */
/**
 * Jaro-Winkler similarity (0..1) — Jaro with a bonus for a shared prefix (up to 4
 * chars). Case- and whitespace-insensitive by default. 1 = identical, 0 = nothing
 * in common.
 */
declare function jaroWinkler(a: string, b: string, opts?: {
    caseSensitive?: boolean;
}): number;
interface FuzzyMatch {
    candidate: string;
    score: number;
}
/**
 * Score `query` against every candidate and return the matches at or above
 * `threshold` (default 0.85), highest score first, capped at `topK` (default 10).
 */
declare function fuzzyMatchList(query: string, candidates: readonly string[], opts?: {
    threshold?: number;
    topK?: number;
    caseSensitive?: boolean;
}): FuzzyMatch[];

export { type FuzzyMatch, fuzzyMatchList, jaroWinkler };