Backplanes Spotlight vs Mastra: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Backplanes Spotlight and Mastra — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Backplanes Spotlight
Backplanes
Automatic session reports for Claude Code and Codex agents showing files touched, commands run, external tools reached, scope drift, and review items.
Key features
- Automatic Session Reports: Produces per-session reports for Claude Code and Codex that summarize actions, touched files, commands executed, and external calls to third-party tools.
- File-Level Traceability: Identifies and lists files created, modified, or deleted during an agent session so reviewers can inspect exact changes and their context.
- Command and Action Logs: Captures commands and high-level actions executed by agents (shell commands, IDE operations, tool invocations) to recreate and audit workflows.
- External Tool Interaction Tracking: Records which external services or tools the agent reached (APIs, CLIs, cloud services) to surface potential data exfiltration or dependency use.
- Scope Drift Detection: Highlights when an agent’s actions diverge from the original task or intent, flagging areas that need human attention or rollback.
- Review Prioritization: Flags risky or unusual operations and ranks items deserving human review to reduce time spent on low-value checks.
- Session Timeline Visualization: Provides chronological timelines of agent activity to help investigators and engineers follow execution flow and reconstruct decisions.
- Organizational Oversight: Aggregates agent activity across teams and vendors to enable multi-tenant monitoring, accountability, and governance.
- Automatic session report generation for agent runs
- Explicit support for Claude Code and Codex sessions
- Tracks files touched/modified during a session
- Records commands executed by the agent
- Tracks external tools and APIs reached during execution
- Detects scope drift across the session
- Highlights actions and artifacts that deserve manual review
- Free at launch
Best for
- Security & Incident Review: Investigating a suspicious agent session to see which files were accessed, which external APIs were called, and whether sensitive data may have been exposed.
- Vendor and Contractor Oversight: Monitoring agent-driven work performed by third-party vendors to ensure actions stay within scope and comply with internal policies.
- Code-Generation QA: Reviewing outputs from Claude Code or Codex sessions to validate generated code changes, commands executed, and identify potential regressions.
- Compliance and Audit Trails: Providing auditable records of automated agent activity for regulatory or internal compliance purposes, including timeline and action logs.
- Scope Management: Detecting and correcting scope drift when an agent starts performing tasks outside the intended objective, preventing unintended changes.
- Postmortem & Debugging: Reconstructing agent workflows after a failure to determine root cause by reviewing chronological actions, file edits, and external calls.
- Change Control and Approval: Using prioritized review items to gate merges or deployments that were initiated or modified by agent sessions.
- Developer audit of autonomous code-generation or modification runs
- Security and compliance review of agent interactions with external tools and systems
- QA and debugging to reproduce and understand agent-driven changes
- Review prioritization by surfacing risky or out-of-scope actions
- Post-run reporting for teams integrating agent workflows into CI/CD
Mastra
Mastra (team behind Gatsby)
A TypeScript-first agent framework with workflows, memory, streaming, playground, evals, and tracing for building AI apps.
Key features
- Unified Model Interface: Provides a single API to access hundreds of models from dozens of providers (documented access to 1113 models from 53 providers) so developers can switch or compare models without changing application logic.
- Workflows and Orchestration: First-class workflow primitives to compose multi-step agent behaviors and pipelines, enabling complex task decomposition, tool invocation, and sequential processing.
- Long-term Memory: Built-in memory abstractions to persist and recall conversational or agent state across sessions, improving continuity and personalized behavior.
- Streaming Outputs: Support for streaming model responses to enable low-latency progressive output and responsive UX in interactive applications.
- Interactive Playground: A development playground for iterating on prompts, agent strategies, and tool integrations with live testing and debugging.
- Evals and Tracing: Integrated evaluation tooling and tracing to measure agent performance, run automated evaluations, and inspect decision traces for observability and improvement.
- Templates and Example Agents: Ready-made templates (e.g., an AI web search assistant) and sample projects to accelerate building real-world applications.