maldybaevr

Project Owner

Golang SingularityNET SDK

Expert Rating

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Type SingularityNET RFP
Funding Request n/a
RFP Guidelines Golang SDK Development for SingularityNET AI Marketplace

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Overview

The project aims to create a robust, open-source Golang SDK for the SingularityNET ecosystem, acting as a critical bridge between developers and the platform's AI marketplace. This SDK will streamline interactions with core components, including Multi-Party Escrow, Registry smart contracts, and decentralized storage systems like IPFS/Filecoin. It will support seamless integration of SNET services such as managing organizations, services, and facilitating paid calls, while ensuring backward compatibility with the existing Python SDK.

RFP Guidelines

Golang SDK Development for SingularityNET AI Marketplace

Internal Proposal Review

Type SingularityNET RFP
Total RFP Funding $60,000 USD
Proposals 6
Awarded Projects n/a

SingularityNET

Oct. 15, 2024

The SDK will enable seamless integration with key components like Multi-Party Escrow (MPE), the Registry, and IPFS, serving both AI developers and consumers. It must maintain backward compatibility with the existing Python SDK, offer intuitive interfaces for managing identities, organizations, and services, and include strong security and scalability features. Comprehensive documentation is required to ensure ease of use and long-term maintainability.

Proposal Description

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Total Milestones
6
Total Budget
$60,000_USD
Last Updated
4 Dec 2024

Milestone 1 - Requirements Design and Core Dev

Description

Conduct a comprehensive requirements analysis to define the SDK's functionalities and scope. Perform a feasibility study to assess technical constraints and opportunities. Develop a high-level architectural design outlining modules components and their interactions with IPFS Filecoin and SNET smart contracts like the Registry. Build the foundational architecture of the SDK based on the approved design. Implement core modules and integrate packages for interacting with IPFS and Filecoin ensuring robust data storage and retrieval capabilities. Estimated Time: ~6 weeks

Deliverables

Detailed requirements specification architectural design documents and the initial version of the SDK with core architecture and IPFS/Filecoin integration. Estimated Time: ~6 weeks

Budget

$15,000 USD

Success Criterion

Completion of a comprehensive requirements document and approved architecture design for the SDK, integrating IPFS/Filecoin. SDK core functionality and integration with IPFS/Filecoin must be demonstrated.

Milestone 2 - Development of Organization and Service Features

Description

Develop functionalities for managing organizations and services including creation deletion updating and querying. Implement interfaces to interact with SingularityNET smart contracts facilitating seamless operations within the ecosystem. Estimated Time: ~4–6 weeks

Deliverables

Fully functional modules for organization and service management within the SDK.

Budget

$10,000 USD

Success Criterion

Successful implementation of SDK modules for organization and service management (create, delete, update) within the SingularityNET ecosystem, with smooth interaction with SNET smart contracts.

Milestone 3 - Implementation of Free Call Functionalities

Description

Develop core features to support free calls to AI services. Implement authentication mechanisms and ensure compliance with SingularityNET protocols for secure and efficient service interactions without payment processing. Estimated Time: ~2–3 weeks

Deliverables

SDK modules enabling free service calls with proper authentication handling.

Budget

$5,000 USD

Success Criterion

Integration of secure and functional free call capabilities for AI services, with robust authentication and full compliance with SingularityNET protocols, verified through testing and documentation.

Milestone 4 - Implementation of Paid Call Functionalities

Description

Develop core features to support paid calls to AI services. Implement payment processing token management and ensure compliance with SingularityNET protocols for secure and efficient service interactions involving payments. Estimated Time: ~4–5 weeks

Deliverables

SDK modules enabling paid service calls with proper payment handling and authentication.

Budget

$15,000 USD

Success Criterion

Full implementation of paid call features, including payment processing and token management, with seamless integration into SingularityNET smart contracts. Must handle real-world transactions securely.

Milestone 5 - Testing Quality Assurance and Optimization

Description

Perform extensive testing to identify and resolve bugs. Conduct quality assurance to ensure the SDK meets all specifications and industry standards. Optimize performance for various use cases and workloads ensuring scalability and reliability. Estimated Time: ~4 weeks

Deliverables

A fully tested optimized and stable SDK with all critical issues addressed.

Budget

$10,000 USD

Success Criterion

Successful completion of functional, integration, and stress tests. SDK must be free of critical bugs, optimized for scalability, reliability, and performance in real-world use cases.

Milestone 6 - Documentation Examples and Support Materials

Description

Prepare comprehensive developer documentation including API references usage guides and integration tutorials. Provide sample code and examples to facilitate adoption and ease of use by developers within the Golang community. Estimated Time: ~1–2 weeks

Deliverables

Complete set of developer documentation and support materials including code examples and integration tutorials.

Budget

$5,000 USD

Success Criterion

Delivery of comprehensive documentation, API references, usage guides, integration tutorials, and code examples. High-quality, clear materials to assist developers in using the SDK within the Golang and SingularityNET communities.

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The weighted average of the 4 perspectives Overall

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Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

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This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

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RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

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The weighted average of the 4 perspectives Overall

0.0
Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

0.0
This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

0.0
RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

0.0

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Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.

Overall (Primary)
This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).

Feasibility (secondary)

This represents the user\'s assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.

Viability (secondary)

This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:

A proposal that promises the development of a personal assistant that outperforms existing solutions might be feasible, but if there is no AI expertise in the team the viability rating might be low.
A proposal that promises a new Carbon Emission Compensation scheme might be technically feasible, but the viability could be estimated low due to challenges around market penetration and widespread adoption.

Desirability (secondary)

Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?

Example:

Creating a translation service from, say Spanish to English might be possible, but it\'s questionable if such a service would be able to get a significant share of the market

Usefulness (secondary)

This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”

For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:

A metaverse project that spends 95% of its budget on the development of the game and only 5 % on the development of an AI service for the platform might expect a low ‘usefulness’ rating here.

A marketing proposal that creates t-shirts for a local high school, would get a lower ‘usefulness’ rating than a marketing proposal that has a viable plan for targeting highly esteemed universities in a scaleable way.
An AI service that is fully dedicated to a single product, does not take advantage of the purpose of the platform. When the same service would be offered and useful for other parties, this should increase the ‘usefulness’ rating.

maldybaevr

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