How to Pull and Analyze Polymarket Event Data (No-Code)

Lychee is your quant in a box.

Lychee’s no-code platform lets you interact with structured data as if it were a spreadsheet — not raw JSON. It provides a framework for analyzing prediction market data, including the most up-to-date Polymarket market, trade, user, and event data.

In addition to Polymarket, Lychee connects to sources like CoinGecko, Reddit, Twitter, and government datasets — data streams that would typically take developers weeks to ingest and structure.

Lychee also includes built-in analysis scripts, charting tools, and presentation features so you can generate shareable figures, statistics, and dashboards from structured datasets.

The Polymarket Events endpoint returns structured metadata about every event listed on the platform, making it the foundation for systematic prediction market analysis.

If you’re serious about building a quantitative edge, understanding how to access clean event-level data is the first step.

In this guide, we focus specifically on connecting to and utilizing the Polymarket Events endpoint.

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What Is the Polymarket Events Endpoint?

As stated in the Polymarket documentation, “Every prediction on Polymarket is structured around two core concepts: markets and events.”

We’ll cover markets in greater detail in a separate guide. For now, it’s important to understand how events organize related markets into a coherent structure.

A market in Polymarket represents a fundamental binary question with a "Yes/No" outcome. Example:

Will the Iranian regime fall by June 30? (Leading market as of this publication)

An event ties groups of markets together. Events can be:

Single-Market Events

• Event: Will the Iranian regime fall by June 30?

  Market: Will the Iranian regime fall by June 30? (Yes/No)

Multi-Market Events

• Event: Fed decision in March?

  Market: 50+ bps decrease (Yes/No)
  Market: 25 bps decrease (Yes/No)
  Market: No change (Yes/No)
  Market: 25 bps increase (Yes/No)

Understanding this hierarchy is essential if you want to filter, aggregate, or export meaningful datasets.

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What Is the Events Endpoint?

The Events endpoint returns high-level metadata about every event listed on Polymarket. Each event includes:

• Title
• Description
• Category (Crypto, Politics, Sports, etc.)
• Status (Open or Closed)
• Tags
• Liquidity and volume fields
• A nested list of associated markets

Polymarket structures its data hierarchically:

Event → Markets → Outcomes

For example:

“Which crypto company will ZachXBT expose for insider trading?”

That event may contain multiple markets, such as:

• Axiom
• Metaroa
• Pump.fun
• Robinhood

Each market represents an outcome within that event.

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Why Event-Level Data Matters

Most users interact with Polymarket through the front-end interface. Accessing the Events endpoint directly allows you to:

1. Analyze Market Structure

• How many events are currently open?
• Which categories are growing?
• What types of events generate the most volume?

2. Identify Narrative Trends

By grouping events by tag or category, you can track:

• Emerging political narratives
• Crypto ecosystem speculation
• Recurring event themes

3. Compare Liquidity Across Categories

Sort events by:

• Total volume
• Liquidity
• Status (open vs closed)

This shows where capital is concentrating.

4. Export Structured Data

Instead of manually browsing the UI, you can export event-level data to:

• CSV
• Excel
• BI tools
• Python environments

With Lychee, this entire workflow is no-code.

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Who This Is For

This workflow is useful for:

• Quantitative traders analyzing prediction market structure
• Researchers studying crowd forecasting behavior
• Crypto analysts tracking narrative shifts
• Journalists monitoring high-signal events
• Builders creating dashboards or reports

If you want structured insight — not screenshots — this endpoint is foundational.

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Why Use Lychee Instead of Raw API Calls?

Working directly with APIs requires:

• Authentication handling
• Parsing nested JSON
• Writing scripts
• Managing data storage

Lychee removes that complexity.

You can:

• Connect directly to the Polymarket Events endpoint
• Automatically parse nested fields
• Filter and sort visually
• Transform data
• Export clean datasets

No scripts.
No backend setup.
No JSON wrangling.

This is where “quant in a box” becomes real.

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What You Can Do After Connecting the Events Endpoint

Once the data is inside Lychee, you can:

• Filter events by category (e.g., Crypto only)
• Filter by status (open vs closed)
• Sort by volume or liquidity
• Search by keyword
• Expand nested markets
• Export structured event data

This lays the foundation for advanced workflows, including:

• Joining event data with trades endpoint data
• Charting volume by category
• Tracking open interest trends
• Building recurring market structure reports

Each of these will be covered in future guides.

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Step-by-Step: Connecting the Polymarket Events Endpoint in Lychee

Follow these steps:

1. Head to the Integrations Panel

2. Select Polymarket

This loads the available Polymarket API endpoints inside Lychee.

3. Fetch the Dataset

Select Events → List events to load all Polymarket events. The response includes nested markets and metadata.

4. Select Your API Parameters

Each event contains a list of markets. Specify query parameters to get the dataset you need.

5. Apply Sort, Filter, and Other Operations

Filter events by category (e.g., Crypto), status (open/closed), or search by keyword. Sort by volume or liquidity to identify high-activity events.

6. Export Data

Export the filtered dataset to CSV or Excel, or continue your analysis in Lychee’s charting and dashboard tools.

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How This Fits Into the Larger Polymarket API Series

This guide is part of a structured walkthrough of Polymarket’s API inside Lychee. Upcoming guides will cover:

• Other Events endpoints
• Markets endpoint
• Trades endpoint
• Orderbook data
• Charting event-level metrics
• Joining datasets for advanced analysis

The goal is to move from:

Raw endpoint → Structured dataset → Visualization → Insight → Share

By the end of this series, you’ll analyze prediction markets without writing a single line of code.

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Final Thoughts

The Polymarket Events endpoint provides the structural backbone of the platform.

By connecting it to Lychee, you turn static API responses into interactive datasets.

Filter them.
Sort them.
Export them.
Build on them.

This is the first layer of prediction market intelligence — the foundation for deeper quantitative analysis.