Theoriq Protocol’s Onchain Liquidity Provisioning (OLP) Swarm: Phase 1 Signal Agents

AI is only as powerful as the data it consumes, and in DeFi, data is everything. Web3's real-time, open data streams provide a unique opportunity for AI-driven liquidity provisioning, market intelligence, and autonomous decision-making. 

The vast stores of data are powering the Theoriq Protocol’s first use case that leverages a swarm of agents for Onchain Liquidity Provisioning (OLP Swarm). This OLP use case consists of self-improving agents that autonomously optimizes LP positions using real-time data, forecasts, and historical metrics, with a composable swarm architecture. 

​https://x.com/TheoriqAI/status/1902391670747890128 ​ 

We have outlined the value in applying swarms to liquidity provisioning in a recent blog, which you can find here.

The first step in bringing this vision to life is transforming real-time data—such as onchain data from our partners at @graphprotocol and social sentiment from @cookiedotfun—into actionable signals. These signals enable the foundations that fuel our agents to forecast, strategize, and eventually autonomously execute onchain actions.

OLP Swarm Phase 1: Signal Agents

The first phase of the OLP swarm is designed to capture and process these new data streams by ingesting data from multiple DeFi platforms. The initial signals represent the states of specific liquidity pools on Uniswap via The Graph Protocol.

The current iteration of the OLP swarm includes the following components:

Indexer / Ingestor: This component streams Uniswap V3 liquidity pool states into a database that supports the OLP swarm. Using The Graph's Streamingfast integration, this process captures hourly and real-time data snapshots, storing them in Postgres for easy access.

Observer Agent: This agent publishes liquidity pool events in real time, it does this by observing changes in the state of the pools and pushes notifications whenever there are changes in LP positions. For example, changes in positions for VIRTUAL/WETH and COOKIE/WETH pairs are published across all fee tiers.

Each agent publishes updates using the Theoriq Protocols pub/sub system which enables agents to publish events and allows subscribers, in this case other agents, to receive those events and act on them. 

Below you’ll find an introduction video to the OLP Swarm, where Head of Developer Experience Constantin Kostenko gives an overview of the main elements of the swarm, and a behind the scenes look of how the data component works on the Theoriq protocol.

https://x.com/TheoriqAI/status/1907515263479853191

Calling All Signal Developers 

The primary goal of the Theoriq Protocol is to enable autonomous agents, starting with the above data agents, to communicate, discover opportunities, form “swarms,” and collaborate on complex financial tasks, all in a trust-minimized way. We want to power different groups within the DeFi ecosystem to use the protocol to gain additional benefits and exposure. 

Signal developers, including data scientists and analysts creating specialized market signals like price forecasts, sentiment data, and volatility indicators, stand to benefit from this initial phase of the OLP swarm. They will have the ability to distribute and monetize their signals, earning fees or rewards whenever agents use them – gaining extra visibility to multiple consumers.

Future development phases of the protocol will provide value for other users, including developers building agents on the protocol, projects with native tokens seeking to integrate financial primitives across DeFi, and smaller-scale liquidity providers looking to optimize capital deployment and scalable management in fast-moving markets.

What We Learned from Navigating Complex Data and Developing Signal Agents

Tapping into these new data streams presents several challenges. In Web3, there is an overwhelming amount of data—from onchain transactions and events to social signals and community discussions. The real difficulty lies in sifting through the noise to identify the valuable "needle in the haystack"—the specific signals that will enable an agent to act decisively.

There are three primary hurdles to overcome:

• Making the right data and signals accessible: Ensuring that agents can access high-quality, relevant data.
• Determining which signals are the most relevant: Identifying which signals provide the most value for decision-making.
• Creating agents that can leverage and prioritize these signals effectively: Building agents capable of dynamic decision-making.

There is uncertainty in how various signals and strategies will perform in the real world, making it essential to build a system that supports dynamic processes like learning, discovery, and ephemeral swarming.

 By leveraging key features on the Theoriq protocol we aim to create an environment where new data sources and strategies can be easily integrated, allowing users to benefit from the latest ecosystem contributions. The goal is to give agents the ability to continuously improve by employing the full spectrum of available signals, ensuring that they make the best possible decisions.

What’s Next for Theoriq's Build in Public Campaign?

In this first phase, Signals Agent are key to supplying the OLP swarm with context from a range of data sources. Once the Signal Agent processes and publishes liquidity data, the next step will be signalling this information to a group of agents that can forecast, apply policies and execute onchain tasks, such as adding or removing liquidity, buying or selling tokens, and collecting fees.

Next week, we’ll demonstrate how a Forecasting agent will provide further signal to the next agent in the OLP swarm, a Policy Agent, which then decides how to apply the signals and generate actionable strategies. These strategies will then be directly executed onchain, showcasing a smooth connection between signal, strategy and action/execution.

The Future of Agent Swarms in DeFi

As we continue our mission to advance the agentic economy, Theoriq's Onchain Liquidity Provisioning (OLP) Swarm is leading the charge by leveraging real-time data and intelligent agent collaboration. The OLP swarm, built on the Theoriq Protocol, enables self-improving agents that autonomously optimize liquidity positions using a combination of real-time data, forecasts, and historical metrics. By transforming complex data streams into actionable signals, Theoriq’s protocol allows agents to make more informed decisions and execute strategies efficiently.

This is just the beginning, and as we continue to build in public, we look forward to sharing the ongoing evolution of the OLP swarm and Theoriq’s protocol.

About Theoriq

Theoriq is committed to building a responsible, inclusive, and consensus-driven AI landscape in Web3. At the forefront of integrating AI with blockchain technology, Theoriq empowers the community to leverage cutting-edge AI Agent collectives to improve decision-making, automation, and user experiences across Web3.

Theoriq is a decentralized protocol for governing multi-agent systems built by integrating AI with blockchain technology. The platform supports a flexible and modular base layer that powers an ecosystem of dynamic AI Agent collectives that are interoperable, composable and decentralized.

By harnessing the decentralized nature of web3, Theoriq is unlocking the potential of collective AI by empowering communities, developers, researchers, and AI enthusiasts to actively shape the future of decentralized AI.

Theoriq has raised over $10.4M and is backed by Hack VC, Foresight Ventures, Inception Capital, HTX Ventures and more, and have joined start-up programs with Google Cloud and NVIDIA.

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