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@0xward/thesisai-sdk

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A specialized algorithmic research framework providing autonomous document processing, text synthesis structure, and distributed index registration tools bound to the Stacks infrastructure layer.


Installation

Prerequisites

  • Node.js >= 18.0.0
  • npm >= 9.0.0 (or yarn >= 1.22.0 / pnpm >= 8.0.0)

Package Deployment

Execute the targeted acquisition command matching your production environment package manager setup:

# Using Node Package Manager (Default)
npm install @0xward/thesisai-sdk

# Using Yarn Package Manager
yarn add @0xward/thesisai-sdk

# Using PNPM Package Manager
pnpm add @0xward/thesisai-sdk

Peer Dependencies

For secure runtime cryptographic executions and ledger state mutations, ensure your runtime container establishes communication boundaries with the primary network bindings if processing on-chain blocks:

  • For Stacks L2 layers: @stacks/transactions (>= 6.x) for absolute proof anchoring orchestration.

Core Capabilities

  • Multi-Source Synthesis: Standardizes ingestion pipelines to extract technical structures and parse them into clean markdown payloads.
  • Proof of Authorship: Cryptographically hashes compilation instances, preparing data strings for native anchoring routines.
  • Decentralized Storage Mapping: Formats data payloads ensuring strict compliance with SIP-010 metadata schemas and external storage registries.

Quick Start

const { ThesisAISDK } = require("@0xward/thesisai-sdk");
const sdk = new ThesisAISDK();

async function runTask() {
    const dataset = await sdk.synthesizeResearch("Stacks Architecture Analysis", ["SIP-010"]);
    console.log("Generated Dataset:", dataset);
}
runTask();

API Reference

Methods

Method Parameters Return Type Description
synthesizeResearch topic: string, sources: Array Promise<Object> Consolidates incoming parameters into formal scientific indexes.
verifyProofOfAuthorship hash: string Promise<Object> References on-chain blocks to guarantee immutable registration records.

License

This project is licensed under the terms of the MIT License.

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High-performance Autonomous Research Agent designed to streamline and synthesize academic writing.

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