Technical White Paper
AgenticOps AI
AI Security and Communication Intelligence Platform
Version 1.0 documents the first production release: Web3 Community Security, Business Communication Intelligence, connected ingestion foundations, document intelligence, explainable AI outputs, reports, event logs and human approval workflows.
OKX service
A2MCP submitted
Executive Summary
One engine for communication risk and intelligence.
AgenticOps AI helps organizations analyze communications across multiple channels using deterministic security rules, AI reasoning, explainable risk scoring, confidence scoring and human approval workflows.
The platform solves fragmentation across community messages, email, social conversations, business documents, spreadsheets and manual review workflows. It turns unstructured communication into structured decisions without enabling autonomous external action.
The Problem
Fragmented communication creates operational risk.
- Web3 scams, phishing and social engineering move quickly.
- Manual moderation is slow, inconsistent and hard to audit.
- Business communication overload hides urgent signals.
- Teams lack centralized communication intelligence.
Architecture
Unified communication pipeline
Each supported source is validated, normalized and analyzed through a shared engine. Deterministic checks provide stable security signals, while AI reasoning adds classification, summarization, confidence and response guidance.
Ingest
Validate
Normalize
Identify Context
Deterministic Rules
AI Analysis
Structured Output
Human Review
Current Platform
Implemented in Version 1.0
Web3 Community Security
Business Communication Intelligence
Communication Inbox
Human Approval Center
Event Log
Reports Dashboard
Knowledge Hub
TXT, PDF, DOCX, CSV and XLSX analysis
Gmail readonly integration
Telegram integration
Facebook Messenger integration
Instagram integration foundation
Discord Gateway worker
Unified communication pipeline
Explainable AI, risk scoring and confidence scoring
Upstash KV persistence
AI Reasoning
Deterministic rules plus LLM reasoning plus human approval.
Deterministic rules detect stable security patterns such as seed phrase requests, private-key requests, fake administrators, suspicious links, remote access, OTP/password requests, prompt injection and spam.
OpenRouter-backed reasoning adds intent, sentiment, priority, summaries, confidence and recommended actions. Human approval remains the safety boundary for suggested replies or external actions.
MCP Service
External AI systems can call one safe analysis tool.
MCP endpoint
https://agenticopsai.xyz/api/mcp
Analysis endpoint
https://agenticopsai.xyz/api/okx/analyze
Health endpoint
https://agenticopsai.xyz/api/v1/health
Tool: analyze_communication_risk
The MCP surface is analyze-only. It does not expose Gmail sync, OAuth operations, provider secrets, private integration events or approval mutation.
Security
- Bounded public inputs and structured validation.
- No committed secrets or token exposure to the browser.
- Readonly Gmail integration.
- Human approval for recommendations and future actions.
Technical Stack
- Next.js App Router
- React
- TypeScript
- Tailwind CSS
- Zod
- OpenRouter-compatible LLM reasoning
- Upstash Redis / Vercel KV
- Gmail readonly API
- Telegram, Meta and Discord integrations
- Vitest, ESLint and production smoke tests
Current Deployment
Production runs at agenticopsai.xyz. Validation included build, lint, typecheck, unit tests, endpoint validation and production smoke verification.
Use Cases
Web3 Communities
Explainable analysis, risk signals, priority and recommended next steps for human review.
Business Operations
Explainable analysis, risk signals, priority and recommended next steps for human review.
Customer Support
Explainable analysis, risk signals, priority and recommended next steps for human review.
Fraud Detection
Explainable analysis, risk signals, priority and recommended next steps for human review.
Operational Risk
Explainable analysis, risk signals, priority and recommended next steps for human review.
Communication Intelligence
Explainable analysis, risk signals, priority and recommended next steps for human review.
OKX Integration
Submitted as an A2MCP-compatible Communication Intelligence service.
AgenticOps AI exposes the callable toolanalyze_communication_riskthrough the production MCP endpoint. The service has been submitted to OKX for review. This page does not claim approval or public listing until review is complete.
Future Roadmap
Planned features remain separate from Version 1.0.
PlannedCommunication Channels
- X
- LinkedIn
- Slack
- Microsoft Teams
- WhatsApp Business
PlannedSocial Intelligence
- Social comment intelligence
- Direct message intelligence
- Brand monitoring
- Reputation analytics
PlannedMarketing Intelligence
- Social ad management with human approval
- AI marketing intelligence
PlannedBusiness Operations
- Gmail send/modify actions with user approval
- Calendar intelligence
- Workflow automation
PlannedEnterprise and AI Platform
- BigQuery integration
- Google Cloud integrations
- Multiple LLM providers
- AI agent orchestration
- AI business operator
Conclusion
Version 1.0 is the first production release.
AgenticOps AI is designed to become a broader AI operations layer for communication, business intelligence, audit, compliance, marketing and workflow automation. The current release boundary remains clear: analyze communications, explain risk, recommend actions and keep humans in control.
Appendix
API examples, MCP examples, glossary and architecture references.
POST https://agenticopsai.xyz/api/okx/analyze
{
"content": "Urgent wallet verification. Send your seed phrase now.",
"context": "web3-community",
"source": "telegram"
}POST https://agenticopsai.xyz/api/mcp
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "analyze_communication_risk"
}
}Glossary
- A2MCP: service mode for exposing callable tools.
- Deterministic rule: reproducible security signal.
- Human approval: review boundary before external action.
- Normalized message: provider-neutral communication model.
Architecture References
docs/architecture.mddocs/okx-submission.mdlib/messages/lib/integrations/lib/security/