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Prediction Market Data Aggregator
by
Karen Sheng
· GitHub ↗
· v1.0.0
· MIT-0
101
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Active Installs
1
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Install in OpenClaw
/install prediction-agg
Description
Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades
Usage Guidance
This skill appears coherent: it needs an AISA_API_KEY to call the third-party API at api.aisa.one and uses python/curl as shown. Before installing, verify you trust the AIsa service (api.aisa.one) because wallet addresses, positions, and market queries will be sent to that API using your key. Treat AISA_API_KEY like any API secret: use a least-privilege/read-only key if possible, rotate/revoke it if you stop using the skill, and review the full Python script locally if you want to confirm there are no additional network calls or logging of sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: prediction-agg
Version: 1.0.0
The skill bundle provides a legitimate interface for accessing prediction market data from Polymarket and Kalshi via the AIsa API (api.aisa.one). The core logic in scripts/prediction_market_client.py is a well-structured Python client using standard libraries (urllib) to perform authorized GET requests, with proper parameter encoding and no evidence of malicious execution, data exfiltration to unauthorized endpoints, or prompt injection attacks.
Capability Assessment
Purpose & Capability
Name/description (prediction market aggregator) matches the artefacts: examples use curl and a Python client that target https://api.aisa.one and the skill requires AISA_API_KEY. Required binaries (curl, python) are appropriate for the provided examples and script.
Instruction Scope
SKILL.md instructs the agent to call the AIsa API and run the included Python script; it does not ask the agent to read unrelated files, system config, or extra environment variables. The instructions are specific (API endpoints, token IDs, wallet addresses) and stay within the stated domain.
Install Mechanism
No install spec or remote downloads are present; the skill is instruction-only with an included Python script. Nothing is fetched from untrusted URLs or extracted to disk during install.
Credentials
Only a single API key (AISA_API_KEY) is required and is consistent with the skill's need to authenticate to api.aisa.one. There are no unrelated secret/env requests or config paths.
Persistence & Privilege
always is false and the skill does not request permanent elevated presence. Autonomous invocation is allowed (platform default) and is reasonable for this data-querying skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prediction-agg - After installation, invoke the skill by name or use
/prediction-agg - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Unified prediction market data access for Polymarket and Kalshi via API.
- Query market data, prices, trading history, orderbooks, and sentiment for Polymarket and Kalshi.
- Track portfolio positions and P&L by wallet address.
- Detect arbitrage opportunities across platforms.
- Detailed step-by-step usage guide and example CLI/API calls provided.
- Requires AISA_API_KEY for authentication.
Metadata
Frequently Asked Questions
What is Prediction Market Data Aggregator?
Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades. It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.
How do I install Prediction Market Data Aggregator?
Run "/install prediction-agg" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Prediction Market Data Aggregator free?
Yes, Prediction Market Data Aggregator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Prediction Market Data Aggregator support?
Prediction Market Data Aggregator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Prediction Market Data Aggregator?
It is built and maintained by Karen Sheng (@karensheng); the current version is v1.0.0.
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