Contribution and Provenance

Our Vision for Contributors

At AskTrady, we aim to ensure that model contributors, data contributors, and intellectual property (IP) contributors are rewarded for their efforts and co-contributions to the success of Trady AI Agents in real-world trading applications. To achieve this, we have developed the following systems:

  1. Modular Consensus Framework

    This framework serves as the foundational architecture of AskTrady, offering a comprehensive suite of tools and libraries essential for contributors within the AskTrady ecosystem.

  • Purpose

    The Modular Consensus Framework facilitates the creation, governance, maintenance, and utilization of Trady AI Agents, ensuring they are optimized for performance and productivity.

  • Flexibility Its modular design provides transparency and composability, allowing stakeholders to tailor their interactions with Trady AI Agents based on specific objectives or requirements.

  • Key Features

    • Tools for managing and deploying AI agents.

    • Governance mechanisms to align contributors and stakeholders.

    • Transparent frameworks for tracking contributions and rewards.

  1. Immutable Contribution Vault (ICV)

    The Immutable Contribution Vault is a secure repository for all validated contributions to the AskTrady ecosystem, represented as Non-Fungible Tokens (NFTs).

  • NFT-Based Recognition

    Each validated contribution—whether it’s a model, dataset, or IP—earns an NFT that serves as a permanent record of the contributor’s effort and intellectual input.

  • Transparency and Trust The ICV ensures that every contribution is transparently recorded and immutable, fostering trust among contributors and incentivizing collaboration.

  • Testament to Collaboration

    The NFTs stored in the ICV symbolize the collective efforts of contributors, ensuring their work is acknowledged and rewarded in the ecosystem.

Through these systems, AskTrady creates a fair, transparent, and rewarding ecosystem where contributors are integral to the development and success of Trady AI Agents.

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