Bluerails Discovery vs Supernova: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Bluerails Discovery and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Bluerails Discovery
Bluerails
Bluerails is payment infrastructure for the agentic economy that makes businesses discoverable to AI agents and ready to be paid by them.
Key features
- Agent-Ready Checkout: Accept payments from any AI tool or assistant automatically, with no integration work required.
- Global Settlement: AI tools pay behind the scenes and you receive EUR or USD directly in your bank account.
- AI-Visibility Score: A peer-reviewed discoverability score drawn from 400 samples rather than a single one-off guess.
- Built-In Compliance: Discovery, payments, and settlement run on the rails marketplaces already use, with compliance handled.
Best for
- Publisher Monetization: EU content publishers accepting payments from AI agents for access to their content.
- Hotel Discovery: DACH hotel properties becoming discoverable and bookable by AI agents.
- SaaS Agent Commerce: SaaS tools getting paid automatically when AI assistants use them.
- Agentic Outreach: Shopify stores reaching customers through AI-powered channels.
Supernova
Supernova
An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.
Key features
- MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
- Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
- Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
- Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
- Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
- TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
- Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
- Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.
Best for
- Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
- Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
- Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
- AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
- Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
- CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.