Documentation
Governance & Privacy
Dashboard

API Documentation

Data governance model covering retention posture, boundary enforcement, audit visibility, and privacy-aware operational controls.

Governance & Privacy

Overview

Mnexium provides fine-grained access control, data lifecycle management, and privacy-conscious design to help you build enterprise-ready AI applications.

PII Guidelines

Best practices for handling personally identifiable information:

Do not store secrets in memory text

Never put passwords, API keys, or tokens in memory text fields. These are searchable and may be included in LLM context.

Use metadata for identifiers

Store user IDs, order numbers, and references in metadata. Keep memory text for semantic meaning.

Scope data by subject_id

Always use subject_id to isolate user data. Memories are never shared across subjects unless explicitly marked visibility: "shared".

Audit Trail

Every API call is logged with full context. View your activity log at /activity-log.

action
string
API action performed (e.g., memory.create, chat.completion)
subject_id
string
User the action was performed for
status
string
Result: success or failure
timestamp
datetime
When the action occurred
metadata
object
Additional context (model, tokens, etc.)