@0xward/thesisai-sdk

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.