Loomal vs Supernova: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Loomal and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Loomal

Freemium

Payments layer for agentic commerce — paywall any API, MCP tool, or store so AI agents can pay in USDC on Base per request.

Five-Line Paywall SDK: Wrap any Express, Hono, Next.js, or FastAPI handler with requirePayment to charge agents per call.
x402 Protocol Support: Uses HTTP 402 Payment Required as a real payment rail, so auth and payment happen in one round trip with no API keys.
USDC on Base Settlement: Payments settle on-chain in seconds; sellers keep custody of funds in their own wallet.
Per-Request Micropayments: Charge anywhere from a tenth of a cent to a dollar per call, enabling models the card networks cannot serve.
Signed Receipts: Every sale returns an Ed25519 receipt sellers can verify offline for provable, auditable revenue.
Hosted Endpoint Option: Paste JSON or upload a file and Loomal will host and paywall it at a URL agents can pay to hit.
Marketplace Discovery: A public marketplace lets agents discover paid APIs and MCP tools hosted through Loomal.
Broad Agent Compatibility: Works with any agent runtime that speaks x402 — Claude, GPT, Gemini, LangChain, CrewAI, MCP clients.

Monetizing an API: Turn a paid tier of a REST API into per-call micropayments that agents can buy without human onboarding.
Selling MCP Tools: Charge for premium MCP tools that agents in Claude Code, Cursor, or Windsurf install.
Data Vendor Distribution: Let agents buy scraped or curated datasets per query with no contracts or seats.
Hosted Content Paywalls: Sell access to a hosted JSON endpoint or uploaded file to agents that discover it in Loomal's marketplace.
Storefront Access (Coming): Add agentic checkout to a Shopify or WooCommerce store so AI shopping agents can transact directly.
SaaS Usage Billing: Bill agent traffic per action instead of per seat, aligning revenue with actual agent consumption.

Paid

An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.

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.

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.