Compare
Calljmp vs Prefactor
Runs agents as code with a managed backend, without built-in live scoring and risk control
Side by side
- What it is
- Calljmp:Calljmp provides a TypeScript-native, managed backend for building, deploying and scaling AI agents and workflows.
- Prefactor:Prefactor provides real-time observability, evaluation and enforcement for AI agents in production.
- Best for
- Calljmp:Code-native AI agent backend
- Prefactor:Live scoring and risk control for AI agents
- Who it’s for
- Calljmp:SaaS product teams, technical founders, and developer agencies building AI features.
- Prefactor:Teams building and shipping AI agents to customers.
- Pricing
- Calljmp:Freemium
- Prefactor:Freemium
- Plans
- Calljmp:Solo $20 per month · Pro $99 per month
- Prefactor:Dev Free · Startup $49/mo per month · Scaleup $199/mo per month
- Works with
- Calljmp:GraphQL, gRPC, Databases
- Prefactor:Python SDK, LangChain, Claude, Vercel AI, OpenClaw, LiveKit, OpenTelemetry, VS Code
- DevHunt upvotes
- Calljmp:35
- Prefactor:7
- Launched on DevHunt
- Calljmp:Feb 2026
- Prefactor:Aug 2026
Calljmp features
- TypeScript-native agents. Write agents and workflows directly in TypeScript with full type safety.
- Managed execution & scaling. Calljmp handles agent runtime, state, retries, timeouts and HITL without infrastructure.
- Observability dashboard. Unified traces, logs, metrics and cost tracking for all agents.
- Zero-config integrations. Connect to REST/GraphQL/gRPC APIs, databases and services as tools without setup.
- Human-in-the-loop. Add approval flows and manual reviews into any agent workflow.
- Memory & knowledge store. Persistent context and vector/hybrid search for documents, APIs and datasets.
Prefactor features
- Instant SDK integration. Drop-in TypeScript or Python SDKs (LangChain, Claude, Vercel AI, OpenClaw, LiveKit) instrument every agent call.
- Real-time run visibility. Shows full traces, latency, cost and data-risk for each token, tool call and decision as they happen.
- Custom evals & scoring. Run LLM-as-judge, technical checks and qualitative metrics on every step, with human-in-the-loop feedback.
- Runtime enforcement. Pause, approve or block risky actions automatically or via human review through SDK or API.
- Agent lifecycle management. Version, stage (dev/staging/prod) and promote agents only when evals pass, with instant rollback.
- Custom spans. Attach external data (GitHub, Jira, DB, APIs) to runs so evaluations are grounded in real context.
Based on each tool's website and DevHunt data. Details may change; check the official sites.