Presearch Decentralized Search for Openclaw

A production-ready decentralized search API for AI agents that provides privacy-first, uncensored web results via a distributed node network.

nosytlabs
v1.0.1
Feb 20, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install decentralized-search

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install decentralized-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Presearch Decentralized Search?

Presearch Search is a powerful tool within the Openclaw Skills ecosystem designed for developers who prioritize data sovereignty and privacy. By utilizing a decentralized node infrastructure, this skill allows AI agents to perform web searches without the risk of tracking, profiling, or centralized censorship. It provides a reliable bridge between autonomous agents and the vast, distributed web, ensuring that information retrieval is both comprehensive and secure.

This skill is built for production environments where privacy is a non-negotiable requirement. Whether you are building research tools, data aggregators, or autonomous assistants, incorporating Presearch via Openclaw Skills ensures your application benefits from a distributed network that values user anonymity and data integrity.

Presearch Decentralized Search Use Cases

  • Powering autonomous research agents with uncensored web data.
  • Enhancing Openclaw Skills workflows that require real-time information without search engine tracking.
  • Developing privacy-centric AI assistants that avoid data profiling.
  • Automating competitive analysis and market research using distributed node technology.

How Presearch Decentralized Search Works

  1. The AI agent triggers the search skill with a specific query and optional parameters like language or time range.
  2. The request is authenticated via a Bearer Token and sent to the Presearch decentralized API endpoint.
  3. The query is processed by a network of distributed nodes to fetch results without centralized tracking.
  4. The API returns a structured JSON object containing titles, links, descriptions, and pagination metadata.
  5. Your Openclaw Skills agent parses this data to perform further analysis, summarization, or decision-making.

Presearch Decentralized Search Setup

To get started, obtain an API key from Presearch and configure it in your environment. Use the following bash command to set up your credentials:

export PRESEARCH_API_KEY="YOUR_API_KEY_HERE"

You can then initialize the skill in your preferred environment using the standard Openclaw Skills integration patterns for Python or JavaScript.

Presearch Decentralized Search Data Schema & Taxonomy

The skill returns a structured response that is easy for LLMs to parse. Below is the metadata taxonomy for the search results:

Field Description
standardResults An array of search result objects (title, link, description).
pagination Metadata for navigating result pages, including has_next.
q The original search query processed.
lang The language code used for filtering results.

Presearch Decentralized Search Advanced Features

  • Decentralized Node Infrastructure: Leverages a distributed network to prevent single points of failure or censorship.
  • Privacy-First Protocol: No user tracking, profiling, or data harvesting during the search lifecycle.
  • Customizable Search Filters: Fine-tune results by time (day, week, month, year) and safe-search levels.
  • High-Performance Throughput: Supports up to 100 requests per minute, making it suitable for high-demand Openclaw Skills applications.

SKILL.md


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