A professional-grade market intelligence integration that allows AI agents to search company filings, expert calls, and news using Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install alphasense
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install alphasense 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 AlphaSense?
AlphaSense is a leading market intelligence platform designed for finance, corporate strategy, and research professionals. This skill enables AI agents to tap into a vast repository of public and private content, including filings, transcripts, and dashboards. By utilizing Openclaw Skills, developers can automate the discovery of critical business insights while leveraging a secure framework that handles the complexities of authentication and API management.
Built on the Membrane architecture, the AlphaSense skill ensures that AI-driven workflows remain robust and secure. It provides a standardized interface for interacting with research data, allowing agents to focus on high-level analysis rather than low-level networking protocols. This integration is essential for any developer looking to build sophisticated financial research tools with Openclaw Skills.
AlphaSense Use Cases
- Automating the collection and summary of company filings and earnings call transcripts.
- Syncing research notes and saved searches between AlphaSense and other productivity tools.
- Monitoring news feeds for specific market triggers to alert investment teams.
- Building comprehensive market intelligence reports by querying AlphaSense data via Openclaw Skills.
How AlphaSense Works
- Install the Membrane CLI to manage your environment and Openclaw Skills connections.
- Authenticate the agent with the market intelligence platform to establish a secure session.
- Create a connection to the AlphaSense domain to enable specialized research functions.
- Poll the connection state to ensure the environment is ready for data retrieval.
- Search for available actions using natural language intents to find the most efficient workflow.
- Run specific actions or use proxy requests to interact with AlphaSense data directly.
AlphaSense Setup
To begin using this skill, install the CLI tool:
npm install -g @membranehq/cli@latest
Next, authenticate your agent for use with Openclaw Skills:
membrane login --tenant --clientName=openclaw
Establish a connection to the platform:
membrane connection ensure "https://www.alpha-sense.com/" --json
Follow the provided URL to complete the OAuth flow in your browser, then verify the connection state is READY.
AlphaSense Data Schema & Taxonomy
The AlphaSense skill organizes its data and metadata into several functional domains to facilitate efficient research via Openclaw Skills:
| Category | Description |
|---|---|
| Search | Parameters for saved and ad-hoc market research queries. |
| Documents | Access paths for company filings, news articles, and transcripts. |
| Notes | Metadata for managing and retrieving user-generated research annotations. |
| Dashboards | Structural data for visualizing market intelligence collections. |
| Actions | A schema-based registry of available API operations including input and output requirements. |
AlphaSense Advanced Features
- Automatic credential and token refresh management to maintain long-running Openclaw Skills sessions.
- Proxy request support for accessing deep API endpoints not covered by standard actions.
- Intent-based discovery to minimize token usage by finding pre-built, optimized research actions.
- Support for headless environments through manual authorization code completion.
- Machine-readable JSON output across all commands for seamless integration into multi-agent pipelines.
SKILL.md
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