Dragonboat
Dragonboat provides an agentic product development lifecycle (PDLC) platform that uses an active ontology to orchestrate strategy, portfolio, and execution across product teams. It offers headless APIs, MCP integration, and tools for product managers, CPOs, and CTOs to automate workflows, gain real‑time insights, and adapt to changing market conditions. The platform integrates with Jira, Azure DevOps, Salesforce, Slack, and Teams, enabling AI agents to act on product data and drive outcomes at scale.
Dragonboat is profiled on the APIs.io network. Tagged areas include Product Management, Portfolio Management, AI Integration, Enterprise Software, and Agile.
Dragonboat’s developer surface includes pricing, engineering blog, and 12 more developer resources.
Kin Score
Pricing Plans 1
Published pricing tiers and plan structures.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Access & Security 4
Authentication, authorization, and security posture
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 2
Properties that don't map to a standard resource type
Source (apis.yml)
Dragonboat API — frequently asked questions
How much does the Dragonboat API cost?
APIs.io lists 2 pricing plans for Dragonboat, with each plan's price, limits and inclusions under Pricing Plans on this page.
Is the Dragonboat API ready for AI agents?
Dragonboat has a Kin Score of 21.8 out of 100 (emerging) and an Agent Readiness score of 17.5 (agent-aware), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.