/**
 * PostgreSQL Performance Tools - Anomaly Detection
 *
 * Lightweight anomaly detectors that compare current state against
 * historical baselines using PostgreSQL system views. Returns risk
 * scores, trend analysis, and actionable recommendations.
 *
 * Tools:
 *   - pg_detect_query_anomalies: z-score analysis via pg_stat_statements
 *   - pg_detect_bloat_risk: multi-factor bloat risk scoring
 *
 * Shared helpers (exported for connection-analysis.ts):
 *   - toNum, toStr, safeNum, riskFromScore, RiskLevel
 */
import type { PostgresAdapter } from "../../postgres-adapter.js";
import type { ToolDefinition } from "../../../../types/index.js";
export type RiskLevel = "low" | "moderate" | "high" | "critical";
export declare const toNum: (val: unknown) => number;
export declare const toStr: (val: unknown, fallback?: string) => string;
export declare function riskFromScore(score: number): RiskLevel;
export declare function createDetectQueryAnomaliesTool(adapter: PostgresAdapter): ToolDefinition;
export declare function createDetectBloatRiskTool(adapter: PostgresAdapter): ToolDefinition;
//# sourceMappingURL=anomaly-detection.d.ts.map