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

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

Cadenya

Paid

A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.

Unified Tool Layer: Connect MCP servers, OpenAPI specs and existing endpoints once, and expose them to every agent through a single managed interface.
Model-Agnostic Variations: Set a default model and run canary variations on other providers side by side to compare behaviors before promoting a change.
Progressive Tool Discovery: Tool schemas stay out of the context window until an agent asks for them, with configurable max tools per search, search hints and a rerank threshold, so every request gets smaller.
Live Token Metering: Track cost as it accrues across loops, active variations, memory entries and widgets, so usage is visible rather than discovered on the invoice.
Webhooks and SSE Streaming: Push agent events — assistant messages, tool results, approval requests, sub-agent spawns, compaction, timeouts — into your own apps in real time.
Memory Layers: Attach stored documents such as playbooks and policy sets to an agent so its guidance persists across objectives.
Outcome Feedback Scoring: Collect scored comments on each objective, attributed to the variation and model that produced it, to see which behaviors actually work.
Embeddable Widgets: Drop an agent experience into any frontend as a widget rather than building the conversational surface yourself.

Operational Exception Handling: Run an agent that detects stalled shipments or orders and reroutes them through your dispatch API within policy.
Safe Model Migration: Evaluate a new frontier model as a canary variation against live objectives before switching the default.
Wrapping Existing APIs: Turn internal OpenAPI endpoints into agent-callable tools without rewriting the services behind them.
Embedding Agent Chat in a Product: Ship a conversational agent surface into an existing frontend using widgets instead of building it in-house.
Cost Control at Scale: Use progressive discovery and live metering to keep context size and per-loop cost down as agent traffic grows.
Agent Quality Review: Compare scored feedback across variations to understand which prompt or model changes improved real outcomes.

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.