Revenue Model

The platform’s revenue model is designed to sustain its mission of providing scalable, efficient, and high-quality data processing services through its decentralised protocol. Our model reflects open market dynamics aligned with the principles of Web3, thereby supporting both our clients and the crowdsourcing agents who contribute to our platform.

Our revenue model depends on the principles of web3, including decentralisation, transparency, and an open market mechanism. Here, we outline the essential parts of our model and how each relates to these principles:

Dynamic Pricing and Market-Driven Task Completion

Our platform’s dynamic pricing model empowers companies (task creators) and agents (task completers) through a flexible and responsive pricing mechanism.

Price Recommendation and Expression

At the outset, our platform provides a recommended price for each task, determined by a dynamic pricing algorithm. This recommendation is based on a comprehensive analysis of current supply (availability of agents), demand (volume of tasks needing processing), task complexity, and prevailing market conditions. Our goal is to ensure that the price recommendation is not only competitive but also reflects the true value of the work required, adhering to the principle of an open market.

However, recognising the importance of flexibility and autonomy in a decentralised ecosystem, companies have the freedom to set their own price for tasks, diverging from our recommendation if they see fit. This mechanism allows task creators to express their valuation directly, adapting to their needs and budgetary considerations.

Task Completion and Price Adjustment

Agents, in turn, can choose to process tasks based on the offered price, complexity, and their personal preferences or expertise. This direct interaction between supply and demand in real time ensures that task pricing is genuinely market-driven, fostering an efficient and fair marketplace.

If tasks remain incomplete, possibly due to a misalignment between the price and agents' expectations, companies have the option to 'boost' the task price. This boost mechanism enables task creators to increase the task's attractiveness and urgency, encouraging quicker completion. It reflects the dynamic nature of the marketplace, where price adjustments are made in response to real-time feedback from the community.

In case Consensus is not reached for any data processing round, speculative Tasks are generated and distributed to Agents. The rewards for such Tasks are allocated from a reserve fund that is included in the platform’s operational fee.

Ensuring Market Equilibrium

Our dynamic pricing algorithm plays a pivotal role in maintaining market equilibrium. By continuously monitoring and adjusting to fluctuations in supply and demand, as well as taking into account direct input from companies and agents, Timeworx.io ensures that task pricing remains fair, competitive, and aligned with the overarching principles of Web3.

This model enhances efficiency and satisfaction among all platform participants and upholds the values of transparency, autonomy, and community governance. We are setting a new standard for the gig economy in the digital age by facilitating a truly decentralised and market-driven approach to task pricing and completion.

Improved Efficiency of TIX

Aside from enabling transactions in the ecosystem, the TIX token plays a vital role in our protocol. Token holders have the ability to either lock their TIX for securing the protocol in exchange for rewards, or they can delegate trust to AI Agents in exchange for a portion of their revenue. Moreover, AI Agents are required to provide a Proof-of-Stake in the decentralised data processing protocol by locking a minimum deposit of TIX. This comprehensive strategy for the token function maintains its value and enhances user involvement with the platform.

Clear and equitable fee system

In line with the principles of Web3, our platform ensures transparency by providing a fee structure that is open and easy to understand. Comprehensive breakdowns on the calculation and use of fees, such as platform operational expenses, staking rewards, reserve fund support, and bonuses for task boosts, are easily available, promoting trust. The protocol provides a gamification mechanism upon finalising a data processing pipeline, by distributing the unused tokens from the reserve fund to a gamification pool, to the benefit of the ecosystem.

Deflationary Mechanism

Our ethos is to create an ecosystem in which both businesses and individuals thrive based on mutual equitability, by providing incentives for all of the actors in the data value chain to act responsibly. One such core mechanism is implemented in the form of the TIX Burn pool which automatically collects tokens related to unused reserve funds for the platform and periodically burns them. This increases the value for all involved stakeholders and contributes to our long-term value proposition.