Every Feature Built for Revenue Clarity
From Signal Ingestion to Prioritized Tickets.
Every error spike, payment failure, and conversion drop is a signal. SignalManager connects them across sources with AI and generates revenue-prioritized tickets — all from an open platform you control.
Signal Pipeline
Ingest from any source via MCP server, REST API, webhooks, or SDK. Normalize every signal into a unified schema so nothing gets lost and everything is comparable.
“Your PM asks ‘are we ingesting Datadog alerts yet?’ You point them to the dashboard — all connected, all flowing.”
- MCP server, REST API, webhooks, SDK
- Unified schema normalization
- Deduplication and batching
AI Analysis Engine
AI-powered severity scoring, correlation detection, and fix suggestions. Works with any AI model — OpenAI, Anthropic, Ollama, vLLM, and more. Connect via MCP or API.
“Instead of debating severity in standup, the team looks at AI-assigned scores and works down the list.”
- Severity scoring and revenue-based prioritization
- AI-generated fix suggestions
- Any AI model: OpenAI, Anthropic, Ollama, vLLM
Cross-Source Correlation
Link related signals across Sentry, Datadog, GitHub, and more. Temporal and semantic matching surfaces connections that manual review would miss.
“A Sentry error, a Datadog spike, and a GitHub deploy — all connected into one incident. No manual investigation.”
- Temporal pattern matching
- Semantic similarity detection
- Sentry, Datadog, GitHub, and more
Ticket Generation
Auto-create tickets in Jira, Linear, or GitHub Issues with full context and AI-generated remediation steps. No more copy-pasting between tools.
“Monday morning, the sprint backlog already has prioritized tickets from weekend signals. No one spent time writing them.”
- Jira, Linear, GitHub Issues
- Full signal context included
- AI-generated remediation steps
Connector SDK
Build custom connectors in TypeScript. Hot-reload during development, built-in testing harness, and type-safe schemas for every signal source.
“Your team built a custom connector for your internal alerting system in an afternoon. Signals flow alongside Sentry and Datadog.”
- TypeScript-first development
- Hot-reload and built-in testing
- Type-safe signal schemas
Rules Engine
YAML-based routing rules, severity overrides, and auto-assignment. Version-controlled so every change is tracked and reversible.
“P1 payment errors go to on-call. P3 staging noise is suppressed. Your PM configured the routing rules without writing code.”
- YAML-based routing configuration
- Severity overrides and auto-assignment
- Git-friendly version control
Open Architecture. MCP + API Access.
Built on PostgreSQL with smart SQL queries — no vector database required. Access everything through the built-in MCP server or REST API. Connect from Claude Desktop, custom scripts, CI/CD pipelines, or any MCP-compatible client.
Your data stays in a single, well-understood database. Bring your own AI model for analysis. Backups, replication, and monitoring work exactly the way your team already knows.
- Built-in MCP server and REST API
- Single PostgreSQL database — no vector DB needed
- BYO AI model — your keys, your costs, your choice
- Self-host or cloud — own your data
How It Works
Ready to Connect Your Stack?
All connectors included on every plan. AI correlates and prioritizes by revenue impact. Start connecting in minutes.