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orcalayer

@orcalayer

OrcaLayer

The clean data layer for Polymarket prediction markets
Ukraine orcalayer.com Joined August 2026
156 Points • 4 Badges • 1 Connections • 1 Followers • 4 Following
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About

OrcaLayer is a read-only analytics layer over Polymarket, the prediction market running on Polygon. Every fill is indexed straight from chain, wallets are classified into smart mon... Show more

Language & Tools

Python, TypeScript, Next.js, PostgreSQL, REST, SSE, MCP, Polygon, web3.py

Currently Exploring

MINT and MERGE trade classification on the CTF contract, and serving whale data to AI agents over MCP instead of plain REST.

Achievements

1.5B+ fills indexed from Polygon. 1,860,481 wallets ranked, 114,199 flagged as airdrop farmers. Full scoring methodology published, thresholds included.

Fun Fact

Of the wallets showing a 90 percent or higher win rate, roughly 61 percent are farmers who bought near-settled markets at 96 cents. The tell is one number: average entry price above 95 cents.

Random Dev Quote

The arithmetic is exact. The model is a guess.

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Contributions
Joined: 1 day (since Aug 28)
Full Name: OrcaLayer
Headline: The clean data layer for Polymarket prediction markets
About: OrcaLayer is a read-only analytics layer over Polymarket, the prediction market running on Polygon. Every fill is indexed straight from chain, wallets are classified into smart money, farmers, bots and router contracts, and every threshold we use is published, so the numbers can be checked rather than trusted.

Most public Polymarket leaderboards are topped by wallets showing 90 percent win rates that bought outcomes at 96 cents. Those are filtered out by default.

Everything the site shows is also available over a REST API, with a Python SDK and an MCP server for AI agents. Docs at orcalayer.com/developers
Location: Ukraine
Website: https://orcalayer.com
Languges & Tools: Python, TypeScript, Next.js, PostgreSQL, REST, SSE, MCP, Polygon, web3.py
Currently Exploring: MINT and MERGE trade classification on the CTF contract, and serving whale data to AI agents over MCP instead of plain REST.
Achievements: 1.5B+ fills indexed from Polygon. 1,860,481 wallets ranked, 114,199 flagged as airdrop farmers. Full scoring methodology published, thresholds included.
Fun Fact: Of the wallets showing a 90 percent or higher win rate, roughly 61 percent are farmers who bought near-settled markets at 96 cents. The tell is one number: average entry price above 95 cents.
Random Dev Quote: The arithmetic is exact. The model is a guess.
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