# OUR SOLUTIONS By pragmatically combining a dynamic & modular system of agents and giving the freedom to agent builders to flexibly build on a specific usecases really come out as an emerging point where agents can evolve to produce more better and desired inference while evolving with new datasets and channelling new streams of incentives for themselves and new streams of revenue, intitutive risk assessments and freedom of space-time for the user to do other things in life. The solution that we provide to Agent builders and Consumers are two different part . ## KOBOTO SDK Koboto SDK comprises of various tooling and services which we provide such as blockchain payment system, smart contract mechanism for secure locking and for providing inference on-chain & off-chain both. I*dentity system for better* robust authentication mechanisms for consumer and network participants, *Rate limiting reduce* the risk of adversarial attacks by making it harder for attackers to flood the system with malicious inputs*, defensive distillation* helps the application agents by identifying and filtering out potentially harmful inputs, *anomaly detection system to* flag suspicious inputs for further inspection. *KOBOTO SDK provides a full matured package for robust, secure, verifiable services.* *To know more, go through* INTRODUCTION *& FEATURES.* *** ## FOUNDATIONAL AGENTS Foundational agents act as a primary agent for the whole network, where application agents can leverage them to build fast, flexible and robust services. Our foundational agents bring interactive behaviour around the agent system , understanding the user intent and koboto domain coordinator finding the best agent around the network and providing fast intent sevices to the consumer . Inference Aggregation brings more broader usecases by leveraging agents from other networks and thus coordinator aggregating into the best inference from all AI agent networks integrated with koboto network. To know more, go through FOUNDATIONAL AGENTS . --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://asvas-organization.gitbook.io/koboto-network-interface/our-solutions.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.