/**
 * log10x_retriever_series — fidelity-aware time series materialization.
 *
 * Builds a time series (counts per bucket, optionally grouped by an
 * enrichment label) from the customer's S3 archive over an arbitrary
 * window. Auto-selects between full aggregation (Strategy A) and per-
 * window-sampled fan-out (Strategy B) based on Reporter pattern volume,
 * with window-length fallback when Reporter has no signal.
 *
 * Honest at any scale: full mode returns exact counts; sampled mode
 * preserves time-distribution shape and dominant-group ranking but
 * caveats tail visibility. Pathological volume gets a structured refusal
 * with narrowing guidance, never a silent timeout.
 */
import { z } from 'zod';
import type { EnvConfig } from '../lib/environments.js';
export declare const retrieverSeriesSchema: {
    pattern: z.ZodOptional<z.ZodString>;
    search: z.ZodOptional<z.ZodString>;
    from: z.ZodString;
    to: z.ZodDefault<z.ZodString>;
    filters: z.ZodOptional<z.ZodArray<z.ZodString, "many">>;
    target: z.ZodOptional<z.ZodString>;
    bucket_size: z.ZodDefault<z.ZodString>;
    group_by: z.ZodOptional<z.ZodString>;
    fidelity: z.ZodDefault<z.ZodString>;
    environment: z.ZodOptional<z.ZodString>;
    view: z.ZodOptional<z.ZodDefault<z.ZodLiteral<"summary">>>;
};
export declare function executeRetrieverSeries(rawArgs: {
    pattern?: string;
    search?: string;
    from: string;
    to: string;
    filters?: string[];
    target?: string;
    bucket_size?: string;
    group_by?: string;
    fidelity?: string;
    environment?: string;
    view?: 'summary';
}, env: EnvConfig): Promise<string | import('../lib/output-types.js').StructuredOutput>;