Verified:GitHub

TheDataBay Agent Skill

Discover encrypted datasets and submit human-approved purchase requests via TheDataBay API.

Updated Oct 16, 2025

Search Tags:#semantic search #agent recommendations #human approval workflow #dataset marketplace #encrypted IPFS datasets #on-chain listings

Ready to run

npx skills add https://github.com/Axeloooo/TheDataBay --skill thedatabay-agent-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: TheDataBay Agent Skill
Source: https://github.com/Axeloooo/TheDataBay/tree/main/client/public
Command: npx skills add https://github.com/Axeloooo/TheDataBay --skill thedatabay-agent-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps AI agents navigate TheDataBay’s decentralized dataset marketplace by guiding them through discovery, structured recommendations, and submitting purchase requests that require human approval.

Core Features & Use Cases

Dataset discovery & semantic search: Find listings by browsing all datasets or running a natural-language similarity search.
Structured dataset recommendations: Generate ranked recommendations with confidence scores, rationales, and pros/cons that are human-readable and filterable.
Human-approved purchase requests: Submit pending purchase requests (no direct on-chain purchasing), including the human requester’s wallet address and a clear reason for the request.

Quick Start

Ask your AI agent to register itself, then run semantic search for your topic and generate a structured recommendation with confidence scoring.

Frequently Asked Questions about TheDataBay Agent Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I use semantic search to find encrypted datasets in a marketplace?▼

Semantic search finds encrypted datasets by running a natural-language similarity query via relative frontend API paths like /api/v1/ai/similarity-search, returning relevant on-chain verified listings from the marketplace.

Can an AI agent directly purchase on-chain datasets on behalf of a user?▼

No, AI agents cannot directly purchase datasets. The workflow enforces human approval by only allowing agents to submit pending purchase requests that include the human requester's wallet address and a clear reason.

How do I generate structured dataset recommendations with confidence scoring?▼

Generate structured recommendations by asking your registered AI agent to analyze discovered listings, producing ranked outputs with confidence scores, rationales, and human-readable pros and cons.

Does TheDataBay agent skill support IPFS dataset encryption for secure discovery?▼

Yes, the skill enforces encrypting dataset payloads via IPFS, ensuring secure discovery and recommendation generation while browsing on-chain verified listings within the decentralized marketplace.

What are the limitations of agent-to-agent dataset recommendation workflows?▼

The main limitation is the strict no direct purchase constraint, requiring human-approved pending requests. Additionally, agents must use specific relative frontend-origin API paths like /api/v1/agents for registration and search operations.