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### Production infrastructure for AI agents
[**Website**](https://systemprompt.io) · [**Documentation**](https://systemprompt.io/documentation/) · [**Guides**](https://systemprompt.io/guides) · [**Core**](https://github.com/systempromptio/systemprompt-core) · [**Template**](https://github.com/systempromptio/systemprompt-template) · [**Discord**](https://discord.gg/wkAbSuPWpr)
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---
# systemprompt-analytics
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[](https://crates.io/crates/systemprompt-analytics)
[](https://docs.rs/systemprompt-analytics)
[](https://github.com/systempromptio/systemprompt-core/blob/main/LICENSE)
Analytics for systemprompt.io AI governance infrastructure. Session, agent, tool, and microdollar-precision cost attribution across the MCP governance pipeline. Comprehensive session tracking, behavioral bot detection, engagement metrics, funnel analytics, and anomaly detection.
**Layer**: Domain — business-logic modules that implement systemprompt.io features. Part of the [systemprompt-core](https://github.com/systempromptio/systemprompt-core) workspace.
## Overview
**Capabilities** · [Analytics & Observability](https://systemprompt.io/features/analytics-and-observability)
This crate provides comprehensive analytics capabilities including:
- **Session Management** - Create, track, and manage user sessions with fingerprint-based identification
- **Behavioral Bot Detection** - Server-side detection of automated traffic using 7-signal analysis
- **Engagement Tracking** - Client-side engagement metrics (scroll depth, time on page, clicks)
- **Funnel Analytics** - Track user progression through defined conversion funnels
- **Anomaly Detection** - Real-time threshold-based and trend anomaly detection
- **Platform Statistics** - Aggregated metrics for users, agents, tools, costs, and traffic
## Usage
```toml
[dependencies]
systemprompt-analytics = "0.2.1"
```
```rust
pub use error::{AnalyticsError, Result as AnalyticsResult};
pub use models::{...}; // 40+ model types
pub use repository::{...}; // 15 repositories + types
pub use services::{...}; // Services + detection helpers
pub type GeoIpReader = std::sync::Arc<maxminddb::Reader<Vec<u8>>>;
```
## Directory Structure
```
src/
├── lib.rs # Public exports and GeoIpReader type alias
├── error.rs # AnalyticsError enum with thiserror
├── models/
│ ├── mod.rs # Core analytics models (sessions, stats, trends)
│ ├── cli.rs # CLI-specific row types for analytics queries
│ ├── engagement.rs # Engagement event models
│ ├── events.rs # Analytics event types and data structures
│ ├── fingerprint.rs # Fingerprint reputation models
│ └── funnel.rs # Funnel tracking models
├── repository/
│ ├── mod.rs # Repository re-exports
│ ├── agents.rs # Agent task analytics queries
│ ├── cli_sessions.rs # CLI session statistics
│ ├── content_analytics.rs # Content performance metrics
│ ├── conversations.rs # Conversation analytics
│ ├── core_stats.rs # Platform-wide statistics
│ ├── costs.rs # Cost breakdown queries
│ ├── engagement.rs # Engagement event CRUD
│ ├── events.rs # Analytics event storage
│ ├── fingerprint.rs # Fingerprint reputation operations
│ ├── funnel.rs # Funnel progress tracking
│ ├── overview.rs # Dashboard overview metrics
│ ├── queries.rs # AI provider usage queries
│ ├── requests.rs # AI request analytics
│ ├── tools.rs # MCP tool execution analytics
│ ├── traffic.rs # Traffic source analysis
│ └── session/
│ ├── mod.rs # SessionRepository facade
│ ├── mutations.rs # Session create/update operations
│ ├── queries.rs # Session read operations
│ └── types.rs # Session parameter types
└── services/
├── mod.rs # Service re-exports
├── anomaly_detection.rs # Real-time anomaly detection
├── behavioral_detector.rs # 7-signal bot detection
├── detection.rs # Detection constants and helpers
├── extractor.rs # Request parsing and bot detection
├── service.rs # AnalyticsService for session lifecycle
├── session_cleanup.rs # Inactive session cleanup
└── throttle.rs # Progressive rate limiting
schema/
├── anomaly_thresholds.sql
├── engagement_events.sql
├── fingerprint_reputation.sql
├── funnels.sql
├── funnel_progress.sql
└── migrations/
├── 001_engagement_not_null.sql
├── 002_add_content_id.sql
├── 003_backfill_content_id.sql
└── 004_add_funnels.sql
```
## Key Components
### Services
| `AnalyticsService` | Session lifecycle management and analytics extraction |
| `AnomalyDetectionService` | Threshold-based and trend anomaly detection |
| `BehavioralBotDetector` | 7-signal server-side bot detection |
| `SessionCleanupService` | Cleanup of inactive sessions |
| `ThrottleService` | Progressive rate limiting (Normal/Warning/Severe/Blocked) |
### Repositories
| `SessionRepository` | Session CRUD and behavioral data queries |
| `EngagementRepository` | Engagement event operations |
| `FingerprintRepository` | Fingerprint reputation tracking |
| `FunnelRepository` | Funnel progress and statistics |
| `AnalyticsEventsRepository` | Analytics event storage |
| `CoreStatsRepository` | Platform statistics and trends |
| `AgentAnalyticsRepository` | Agent task analytics |
| `ToolAnalyticsRepository` | MCP tool execution analytics |
| `RequestAnalyticsRepository` | AI request analytics |
| `CostAnalyticsRepository` | Cost breakdown queries |
| `TrafficAnalyticsRepository` | Traffic source analysis |
| `ContentAnalyticsRepository` | Content performance metrics |
| `OverviewAnalyticsRepository` | Dashboard metrics |
| `ConversationAnalyticsRepository` | Conversation statistics |
| `CliSessionAnalyticsRepository` | CLI session statistics |
### Models
| `AnalyticsSession` | Session data with tracking fields |
| `AnalyticsEvent` | Event with type, category, severity |
| `EngagementEvent` | Client-side engagement metrics |
| `FingerprintReputation` | Fingerprint tracking and flags |
| `Funnel`, `FunnelStep`, `FunnelProgress` | Funnel tracking |
| `ThrottleLevel`, `EscalationCriteria` | Rate limiting |
| `AnomalyCheckResult`, `AnomalyLevel` | Anomaly detection |
| `BehavioralAnalysisResult`, `BehavioralSignal` | Bot detection |
## Dependencies
| `systemprompt-database` | Database pool access |
| `systemprompt-models` | Shared types including ContentRouting |
| `systemprompt-identifiers` | SessionId, UserId, FunnelId, etc. |
| `systemprompt-traits` | Repository trait |
## Behavioral Bot Detection
The `BehavioralBotDetector` analyzes sessions using 7 signals:
| High Request Count | 30 | > 50 requests |
| High Page Coverage | 25 | > 60% of site pages |
| Sequential Navigation | 20 | Systematic crawl pattern |
| Multiple Fingerprint Sessions | 20 | > 5 sessions per fingerprint |
| Regular Timing | 15 | < 0.1 timing variance |
| High Pages Per Minute | 15 | > 5 pages/min |
| Outdated Browser | 10 | Chrome < 90 or Firefox < 88 |
Sessions with score >= 50 are marked as behavioral bots.
## Throttle Levels
| Normal | 1.0x | Yes |
| Warning | 0.5x | Yes |
| Severe | 0.25x | Yes |
| Blocked | 0.0x | No |
## License
BSL-1.1 (Business Source License). Source-available for evaluation, testing, and non-production use. Production use requires a commercial license. Each version converts to Apache 2.0 four years after publication. See [LICENSE](https://github.com/systempromptio/systemprompt-core/blob/main/LICENSE).
---
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**[systemprompt.io](https://systemprompt.io)** · **[Documentation](https://systemprompt.io/documentation/)** · **[Guides](https://systemprompt.io/guides)** · **[Live Demo](https://systemprompt.io/features/demo)** · **[Template](https://github.com/systempromptio/systemprompt-template)** · **[crates.io](https://crates.io/crates/systemprompt-analytics)** · **[docs.rs](https://docs.rs/systemprompt-analytics)** · **[Discord](https://discord.gg/wkAbSuPWpr)**
<sub>Domain layer · Own how your organization uses AI.</sub>
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