//Solutions>Builder's Guide>Tools>OrcaLayer
OrcaLayer
// polymarket
// prediction-markets
// analytics
// whale-tracking
// api
// polygon
// Analytics Tools// Web3 Data Tools// Web3 Prediction Markets

OrcaLayer

Polymarket whale analytics API with airdrop-farmer filtering and NegRisk-corrected data, indexing over 1.3 billion on-chain fills across 1.6 million markets.

originPolymarket Analytics
launched2026
chains
Submit or update a tool
Audience
📊Analytics/Data Developers
💸DeFi Developers
🤖AI Agent Platforms
websitexgithub

Overview

OrcaLayer is a read-only analytics layer for Polymarket that exposes wallet performance, whale positioning, and market data over a REST API, so developers do not have to reconcile raw Polygon trade data themselves. The index covers over 1.3 billion on-chain fills across 1.6 million markets, all served through a published OpenAPI specification.

Two corrections are applied before any ranking is produced. Wallets whose average buy price exceeds 95 cents are classified as reward farmers, since a high win rate built on near-settled markets reflects market structure rather than skill. Linked multi-outcome markets receive NegRisk correction so a single event is not credited as several independent wins. The full classification methodology is published rather than treated as proprietary scoring.

The developer surface includes REST endpoints, a Python SDK, an MCP server that lets AI agents query wallet data directly, a Server-Sent Events stream for real-time whale trades, and webhook delivery for ISW territorial events. Public endpoints are open without a key, while Premium at 19.99 dollars per month raises limits to 600 requests per minute and unlocks the SSE trade stream. Coverage is limited to Polymarket, so Kalshi and other venues are not supported. It is best suited for developers and analysts building Polymarket dashboards, trading tools, or agents that need farmer-filtered, NegRisk-corrected data without maintaining their own Polygon indexer.

The Problem

Ranking Polymarket wallets naively rewards the wrong behavior. Raw win rates are inflated by airdrop farmers who buy near-settled markets at high prices, and linked multi-outcome markets let a single correct call look like several independent wins. Reconciling this from raw Polygon trade data is slow and error-prone for most teams.

Farmers Top the Leaderboard
Double-Counted Wins

The Solution

Key Features

1.3B+ Fill Index

Read-only REST API indexing over 1.3 billion on-chain Polymarket fills across 1.6 million markets, served with a published OpenAPI spec.

Farmer-Filtered Rankings

Wallets with an average buy price above 95 cents are tagged as reward farmers, so leaderboards surface skilled traders instead of airdrop grinders.

NegRisk Correction

Linked multi-outcome markets are de-duplicated so a single event is not double-counted as several independent wins when computing win rates.

Key Strengths

Open Public Endpoints
Transparent Methodology
Agent-Ready

How Developers Use OrcaLayer

🐋

Track Polymarket Whales

Monitor large wallet positioning and real-time whale trades through the REST API and Server-Sent Events stream.

🤖

Power AI Trading Agents

Wire the MCP server into an AI agent so it can pull farmer-filtered, NegRisk-corrected wallet data on demand.

📊

Build Honest Leaderboards

Use farmer-filtered rankings and corrected win rates to build Polymarket leaderboards and dashboards without running your own indexer.

Works Well With
Polygon PoS
Polygon PoS

Ship faster than your competition

Free RPC across 77+ chains. Spin up an endpoint in under 30 seconds.

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Resources

OrcaLayer lives at orcalayer.com, with developer documentation and the OpenAPI spec at orcalayer.com/developers. Public REST endpoints are open without a key, while Premium at 19.99 dollars per month raises rate limits and unlocks the SSE whale-trade stream. A Python SDK, an MCP server, and webhooks are available for integration, and product updates are posted on X at @orcalayer. Support is available at support@orcalayer.com.