@aegntic/dailydoco-mcp-server
Version:
DailyDoco Pro MCP Server - Claude integration for automated documentation with AI test audiences, personal brand learning, and intelligent video compilation
57 lines • 2.33 kB
TypeScript
/**
* Authenticity Engine Tool
* Validates content authenticity and applies human fingerprinting for 95%+ authenticity scores
*/
import { z } from 'zod';
declare const ValidateAuthenticityArgsSchema: z.ZodObject<{
content_id: z.ZodString;
content_type: z.ZodEnum<["video", "audio", "text"]>;
detection_tests: z.ZodOptional<z.ZodArray<z.ZodEnum<["gpt_zero", "originality_ai", "platform_detection"]>, "many">>;
}, "strip", z.ZodTypeAny, {
content_id: string;
content_type: "text" | "video" | "audio";
detection_tests?: ("gpt_zero" | "originality_ai" | "platform_detection")[] | undefined;
}, {
content_id: string;
content_type: "text" | "video" | "audio";
detection_tests?: ("gpt_zero" | "originality_ai" | "platform_detection")[] | undefined;
}>;
declare const ApplyHumanFingerprintArgsSchema: z.ZodObject<{
content_id: z.ZodString;
fingerprint_level: z.ZodDefault<z.ZodEnum<["minimal", "moderate", "high", "maximum"]>>;
components: z.ZodOptional<z.ZodArray<z.ZodEnum<["speech_patterns", "mouse_behavior", "typing_patterns", "error_injection"]>, "many">>;
}, "strip", z.ZodTypeAny, {
content_id: string;
fingerprint_level: "maximum" | "moderate" | "minimal" | "high";
components?: ("speech_patterns" | "mouse_behavior" | "typing_patterns" | "error_injection")[] | undefined;
}, {
content_id: string;
fingerprint_level?: "maximum" | "moderate" | "minimal" | "high" | undefined;
components?: ("speech_patterns" | "mouse_behavior" | "typing_patterns" | "error_injection")[] | undefined;
}>;
export declare class AuthenticityEngine {
/**
* Validate content authenticity and AI detection resistance
*/
validateAuthenticity(args: z.infer<typeof ValidateAuthenticityArgsSchema>): Promise<{
content: {
type: string;
text: string;
}[];
}>;
/**
* Apply human authenticity enhancements to content
*/
applyHumanFingerprint(args: z.infer<typeof ApplyHumanFingerprintArgsSchema>): Promise<{
content: {
type: string;
text: string;
}[];
}>;
private runAuthenticityValidation;
private applyFingerprinting;
private calculateImprovement;
private generateEnhancementDetails;
}
export {};
//# sourceMappingURL=authenticity-engine.d.ts.map