ARBR vs Stamp: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ARBR and Stamp — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ARBR
Gyde & Domkundwar Foundation
Open-source, MIT-licensed AI gateway and control plane that routes, governs and observes every LLM request behind one OpenAI-compatible endpoint.
Key features
- OpenAI-Compatible Routing: A single drop-in endpoint over every major provider, with rules, difficulty-aware selection, cost guardrails and automatic fallback choosing the model per request.
- In-Path Governance: Budgets, rate limits, output guardrails, prompt-injection checks and kill switches enforce policy before inference rather than auditing it afterwards.
- Structured Observability: Cost, latency, tokens and routing decisions are emitted as structured events attributed by application, team, model and user, viewable in local dashboards or exported to OpenTelemetry backends such as Datadog, Grafana and Prometheus.
- LLM-Judge Evaluation: A sample of live traffic is scored for quality so requests can be routed to the cheapest model that provably clears the bar, rather than optimising on price alone.
- Safe Model Deployment: Canary and shadow new models against real traffic with regression gates that block promotion until evaluations pass, plus instant rollback.
- Broad Provider Coverage: One layer over Anthropic, OpenAI, Google Gemini, Amazon Bedrock, Azure OpenAI, Vertex AI, Groq, DeepSeek, Moonshot, xAI and Mistral, plus LiteLLM and NVIDIA NIM, with pricing and benchmark data for over 3,000 models.
- Drop-In SDK Compatibility: Change only the base URL and existing OpenAI SDKs, agent frameworks and chat UIs keep working, gaining streaming chat completions, embeddings, a realtime voice proxy and JavaScript and Python SDKs.
- Self-Hosted and MIT Licensed: The full control plane runs inside your own infrastructure under an MIT licence, with a hosted option available for teams that do not want to operate it.
Best for
- LLM Cost Reduction: Route summarisation and extraction traffic to cheap small models while reserving frontier models for analysis, cutting spend without hand-editing every call site.
- AI Spend Attribution: Give finance and engineering a per-application, per-team and per-user breakdown of token spend so AI budgets can be owned by the groups that generate them.
- Enterprise AI Governance: Enforce departmental budgets, rate limits and kill switches in the request path so a runaway agent cannot exhaust a quarter's inference budget.
- Provider Risk Mitigation: Keep applications provider-neutral behind one endpoint with automatic fallback, so a single vendor outage or price change does not require a code change.
- Model Migration Testing: Shadow or canary a newly released model against production traffic and let regression gates decide whether it is promoted.
- Prompt-Injection Defence: Apply output guardrails and prompt-injection checks centrally for every application instead of reimplementing them per service.
S
Stamp
Stamp
An AI secretary that automates email and calendar tasks to reduce inbox burden and manage scheduling.
Key features
- Inbox Triage and Prioritization: Automatically identifies high-priority messages, surfaces urgent items, and filters lower-value emails to reduce user attention on irrelevant messages.
- Automated Draft Replies: Generates context-aware reply drafts or suggested responses to speed up reply times while maintaining tone and consistency.
- Meeting Scheduling and Calendar Management: Proposes meeting times, schedules events, and manages calendar conflicts to streamline booking and coordination.
- Thread Summarization: Condenses long email threads into concise summaries that capture key points, decisions, and action items for quick consumption.
- Follow-up Reminders and Task Extraction: Detects requests or commitments in messages and creates reminders or tasks to ensure follow-through on action items.
- Privacy-aware Integration: Connects to users' email and calendar accounts to operate directly on messages and events while aiming to respect access and data controls (integration specifics depend on provider).
- Automated email management and triage
- Calendar management and scheduling automation
- Meeting coordination and event handling
- Inbox prioritization to surface important messages
- Reduces time spent on routine administrative tasks
Best for
- Executive Inbox Management: A busy executive delegates routine email handling and scheduling to Stamp to focus on high-level decisions and meetings.
- Sales Follow-up Automation: Sales reps use Stamp to draft personalized follow-ups, surface unresponded leads, and schedule discovery calls with prospects.
- Customer Support Triage: Support teams employ Stamp to triage incoming requests, summarize customer issues, and draft initial responses for faster resolution.
- Recruiting Coordination: Recruiters rely on Stamp to propose interview times, sync calendars across stakeholders, and manage candidate communications.
- Small Business Administration: Small business owners use Stamp to reduce time spent on administrative emails and keep their calendars organized without hiring extra staff.
- Managing a busy professional's inbox and calendar
- Automating meeting scheduling and coordination
- Triage and prioritization of incoming emails
- Reducing administrative overhead for teams and executives