Pomerado vs pumaDB: Features, Pricing & Which Is Better (2026)

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

Pomerado

Freemium

Turn any website or legacy portal into a deterministic hosted API or MCP server for your agents, faster than browser use.

Website to API/MCP: Describe a task on a site and Pomerado builds, hosts and maintains a deterministic API or MCP tool for it.
Deterministic Execution: Integrations are built once and tested, then run the same way every time instead of re-reasoning through pages.
Legacy Portal Support: Works with prior auth portals, EMRs, ERPs, CRMs, government filings and vendor portals with no existing API.
Build from Your Coding Agent: Use Codex, Claude or Cursor to create integrations through tools like find_website_tool and build_website_tool.
Login and 2FA Handling: Signs in with saved logins and handles 2FA codes while building the integration.
Keyless MCP Trial: Add the MCP server to Claude Code or Codex with one command and try it without an account.
Maintenance: Hosted integrations are maintained so tools keep working as sites change.

Invoice Retrieval: List supplier-portal invoices by status and date range for finance agents.
Travel and Shopping Comparison: Compare products or flights across sites faster than browser agents.
Healthcare Operations: Automate prior authorization and payer portal checks.
Internal Tool Access: Expose CRMs and admin apps to internal agents as MCP tools.
Personal Assistants: Give your own agent reliable tools for bookings, orders and bills.

Paid

Durable JSON memory API for agents that stores and serves agent memory via hosted MCP or REST without requiring database setup.

Hosted MCP Endpoint: Provides a managed MCP interface so agents can connect to a memory control plane without self-hosting infrastructure or managing databases.
REST API Compatibility: Offers a standard REST API for inserting, querying, and retrieving JSON memory rows from existing services and agent frameworks.
Durable JSON Row Storage: Persists structured JSON rows as durable memory entries, enabling stateful behavior across agent sessions and long-lived context retention.
Memory Review and Inspection: Includes capabilities to review stored memories so developers and auditors can inspect agent state and historical interactions.
No-Database Setup: Eliminates the need to provision, configure, or maintain a dedicated database project — simplifying prototyping and production deployment.
Lightweight Integration: Designed for quick integration with agent systems and assistants, reducing engineering overhead to add persistent memory.
Hosted MCP and REST endpoints for integrations
Store arbitrary JSON rows as durable memory
Durable agent memory without a separate database project
Review and retrieve persisted agent memory
Simple API surface to connect agents to persistent storage

Persistent Conversational Context: Store user preferences and past conversation turns as JSON so chatbots can recall history across sessions.
Stateful Autonomous Agents: Provide long-term memory for agents that require recall of decisions, tasks, and learned information over time.
Rapid Prototyping without DB Work: Enable developers to build and test memory-enabled agents without provisioning or maintaining database infrastructure.
Audit and Debugging of Agent Behavior: Review stored memory entries to trace agent reasoning, reproduce issues, and validate decision contexts.
Cross-Service Memory Sharing: Use REST or MCP interfaces to share agent memory between microservices, chat platforms, and orchestration layers.
User Profile Management for Assistants: Persist structured user data (preferences, settings, history) as JSON to personalize assistant responses.
Maintain long-term memory for conversational agents
Persist agent state and interaction history as JSON
Enable stateless agents to access shared durable memory across sessions
Prototype agents quickly without managing database infrastructure