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  • Nesa Docs
    • Introduction to Nesa
    • Overview of the Nesa System
      • AI Models: Repository, Standardization, Uniformity
      • Users: Why Do We Need Private Inference?
      • Node Runners: Doing Inference and Earning $NES
    • Organization of the Documentation
  • Technical Designs
    • Decentralized Inference
      • Overview
      • Model Partitioning and Deep Network Sharding
      • Dynamic Sharding of Arbitrary Neural Networks
      • Cache Optimization to Enhance Efficiency
      • BSNS with Parameter-efficient Fine-tuning via Adapters
      • Enhanced MTPP Slicing of Topological Order
      • Swarm Topology
      • Additional: Free-Riding Prevention
    • Security and Privacy
      • Overview
      • Hardware Side: Trusted Execution Environments (TEEs)
      • Software/algorithm Side: Model Verification
        • Zero-knowledge Machine Learning (ZKML)
        • Consensus-based Distribution Verification (CDV)
      • Software/algorithm Side: Data Encryption
        • Visioning: Homomorphic Encryption
        • Implementation: Split Learning (HE)
      • Additional Info
        • Additional Info: Trusted Execution Environments (TEEs)
        • Additional Info: Software-based Approaches
    • Overview of $NES
      • $NES Utility
    • The First Application on Nesa: DNA X
    • Definitions
    • Additional Information
      • Dynamic Model Versioning and Fork Management
      • Nesa's Utility Suite
      • The AI Kernel Market
      • Privacy Technology
        • Trusted Execution Environment (TEE)
        • Secure Multi-Party Computation (MPC)
        • Verifiable Random Function (VRF)
        • Zero-Knowledge Proof (ZKP)
      • The Integration of Evolutionary AI to Evolve the Nesa Ecosystem
      • Interoperability and Nesa Future Plans
  • Using Nesa
    • Getting Started
      • Wallet Setup
      • Testnet Nesa Faucet
    • Via Web
      • Your Nesa Account
      • Selecting an AI Kernel
      • Submitting a Query
    • Via SDK
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On this page
  • Accessing the Query page
  • Constructing Your Query
  • Submit Your Query
  1. Using Nesa
  2. Via Web

Submitting a Query

Submit requests via the Query page

PreviousSelecting an AI KernelNextVia SDK

Last updated 11 months ago

Accessing the Query page

Users may access the Query page through multiple means, two of which are detailed below.

  • Select an AI Kernel from the Gallery page, which will redirect you to the Query page, configured with your chosen kernel.

  • Click the Query icon on the left-hand navigation page.

Note: The preferred method of accessing the query page is by selecting an AI Kernel from the Gallery page.


Constructing Your Query

Seen in the image above, the "Enter Query" section guides the construction of your query.

The text input field represents the text data to be sent with your query. This input field changes depending on your selected kernel. For example, image classification kernels accept an image instead.

Clicking the button on the right presents (or hides) advanced query parameters.

Note: The "Private" switch toggles complete private inference and may incur additional cost and delay.

Note: Each kernel requires a specific input type and, possibly, certain content. Review the kernel's description and provided hints for guidance.


Submit Your Query

Once constructed, your query is ready to submit.

Click the "Send query" button to begin the transaction. At this point, you will be prompted to "Approve" one or more prompts via your wallet software to complete the submission.

Monitor your query's progress via the "Realtime Inference Map" and "Response" sections.

Query icon
Example input data form
Advanced query parameters button
Realtime Inference Map and Response