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support

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Description

Bittensor is a decentralized, open-source protocol that enables a blockchain-powered network for machine learning. In this system, machine learning models collaborate in their training and earn TAO tokens based on the value of the information they contribute to the collective. Additionally, TAO facilitates external access, empowering users to retrieve data from the network while customizing its operations to suit their requirements. Our overarching goal is to establish a genuine marketplace for artificial intelligence, a space where both consumers and producers of this critical resource can engage within a framework characterized by trustlessness, openness, and transparency. This approach introduces a fresh, optimized methodology for the creation and dissemination of artificial intelligence technologies, taking full advantage of the distributed ledger's capabilities. In particular, it encourages open access and ownership, promotes decentralized governance, and allows for the effective utilization of globally-distributed computing power and innovative resources within a motivating and rewarding environment. As we continue to evolve, we aspire to foster a vibrant ecosystem that thrives on collaboration and shared success in the realm of AI.

Description

Manta Pacific utilizes Celestia alongside a customized OP stack to provide advanced technical infrastructure that boasts exceptional scalability and minimal gas fees. With the integration of Manta Pacific's universal circuits, the platform creates an unparalleled setting for the development and deployment of ZK applications and decentralized applications (dApps). Whether in finance, gaming, or social networking, the applications built on Manta aim to enhance user experience and deliver significant value to actual users. Furthermore, the Manta ecosystem grants program seeks to investigate and cultivate innovative use cases that address the challenges encountered by users in their everyday interactions. Additionally, Manta Network's zkSBTs empower individuals to validate information in a decentralized and trustless way while safeguarding their privacy. Notably, zkSBTs like the zkBAB and zkGalxe passports facilitate effortless on-chain KYC verification, eliminating the necessity to upload passports or provide sensitive personal data, thus marking a significant advancement in user privacy and security. By prioritizing user-centric solutions, Manta is paving the way for a more secure and efficient digital future.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Bifrost No 
Bitget Wallet No 
Celestia No 
CertiK SkyTrace No 
Coin98 No 
Cointelegraph No 
Equilibrium No 
Ethereum No 
FileMarket No 
HackenProof No 
Halborn No 
IPFS No 
OpenOcean No 
Parsec No 
Polkadot No 
Polygon No 
Pyth No 
Rubic No 
Unmarshal No 
imToken No 

Integrations

Bifrost Yes 
Bitget Wallet Yes 
Celestia Yes 
CertiK SkyTrace Yes 
Coin98 Yes 
Cointelegraph Yes 
Equilibrium Yes 
Ethereum Yes 
FileMarket Yes 
HackenProof Yes 
Halborn Yes 
IPFS Yes 
OpenOcean Yes 
Parsec Yes 
Polkadot Yes 
Polygon Yes 
Pyth Yes 
Rubic Yes 
Unmarshal Yes 
imToken Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Bittensor

Website

docs.bittensor.com

Vendor Details

Company Name

Manta Network

Website

manta.network

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Alternatives

Alternatives

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