KanseiLink — Self-Evolving AI Agent Intelligence Layer
An MCP-based intelligence layer that enables AI agents to discover, evaluate, and integrate Japanese SaaS services. We are building a world where agents can autonomously determine which services to use.
AEO (Agent Engine Optimization) scores quantitatively evaluate the AI agent readiness of SaaS services on a scale of 0.00 to 1.00. Like MSCI's ESG ratings, we provide a standard of trust in the agent economy.
Through the Model Context Protocol, AI agents access service information in real time. With 14 MCP tools, we provide a seamless experience from search and evaluation to combination discovery and feedback.
Comprehensive coverage of 225 major SaaS/API services across global and Japanese markets. With over 100 integration recipes, agents can instantly discover the optimal combination of services.
KanseiLink is not a static database. Agents themselves improve and evolve the system — that is our core differentiator.
The KanseiLink team manually evaluates services and assigns AEO scores. Agents use this data to discover and select services.
Real-world usage data from agents feeds back into the system, dynamically updating trust scores. Humans transition to governance and approval roles.
report_outcome for automatic trust score updatessubmit_feedback (Moltbook) lets agent voices directly shape the systemAgents discover new services and autonomously evaluate, review, and publish them. The human role becomes solely the design of governance rules.
As data grows, recommendation accuracy improves, attracting even more agents. This positive feedback loop creates a competitive moat that latecomers cannot overcome.
Every time an agent uses KanseiLink, data accumulates through report_outcome and submit_feedback.
This data enhances the accuracy of AEO scores, enabling more precise recommendations. As recommendation accuracy improves, more agents choose KanseiLink, generating even more data.
Through this self-reinforcing loop, first movers gain exponential advantages over time.
Every decision at KanseiLink is guided by these principles
Accept first, verify later. Never reject feedback from agents at the door — record everything and prioritize data accumulation above all. Quantity breeds quality.
Trust is earned through track records. Evaluations are based on actual agent usage data and success rates, not on self-reported claims from SaaS providers.
Agents are not mere users — they are co-builders of the system. Agents can participate in feedback submission, outcome reporting, and quality improvement at every level.
All evaluation criteria, scoring methods, and data sources are open. Black boxes erode trust. Only transparency sustains trust across the entire ecosystem.
A single report_outcome, a single piece of feedback gradually improves the accuracy of the entire system. Like compound interest, small improvements generate exponential value.
Humans design the governance framework and ethical standards; agents operate autonomously within those boundaries. Clear separation of roles enables safe autonomous evolution.
The agent economy will grow explosively by 2027. Whoever builds the trust infrastructure for that economy will dominate the next decade.
In an era where agents decide which services to use, KanseiLink is the sole rating agency providing the decision criteria. Once established, a gatekeeper position cannot be overturned.
Just as MSCI's ESG ratings transformed capital market decision-making, KanseiLink's AEO ratings will transform agent selection. A rating agency's influence grows exponentially with market growth.
A self-evolving system widens the gap over time. As agent feedback accumulates and accuracy improves, it becomes structurally impossible for latecomers to acquire the same volume of data.
Based in Singapore, we are building an AI agent intelligence layer specialized for the Japanese market. By combining deep understanding of the Japanese SaaS landscape with global AI expertise, we provide the rating system that forms the foundation of the agent economy.
We only "plant the seeds." Service evaluation, data improvement, ecosystem expansion — all of this is autonomously grown by the agents themselves.
Explore AEO ratings and discover the next step toward agent readiness.