Compare · forecasting layers
Polymarket vs Metaculus.
Real money vs community forecasts.
Polymarket is a real-money crypto-settled prediction market built for short-to-medium-term liquid trading. Metaculus is a community forecasting platform built for long-horizon scientific questions where money does not flow. Different incentives, different time horizons, different audiences — and complementary for serious research. Polymarket numbers below are live; Metaculus rows are verified manually as of 2026-04.
Polymarket questions
7496
Polymarket 24h vol
$22470072
Metaculus questions
~4,000
Refreshed
2026-06-06
Side by side
Structure + incentives + access.
| Polymarket | Metaculus | |
|---|---|---|
| Active questions | 7496 | ~4,000 (community-resolved) |
| 24h volume | $22470072 | N/A — no money |
| Type | Real-money prediction market (crypto-settled) | Community forecasting platform (no real money) |
| Incentive | Financial — trade with USDC | Reputation points + track record + tournaments |
| Settlement | USDC on Polygon blockchain | Community resolution via moderators |
| Time horizon | Hours to ~12 months (skewed short) | Days to decades (skewed long) |
| Categories | Politics, crypto, sports, entertainment, world events | Science, technology, AI, biosecurity, nuclear risk, geopolitics |
| User base | Traders, crypto-native, bettors | Forecasters, researchers, EA community, rationalists |
| Strengths | Liquidity, real-time prices, skin-in-the-game, volume data | Long-term questions, scientific topics, calibration tracking, community reasoning |
| Weaknesses | Short-dated bias, crypto barrier, limited long-term questions | No financial incentive, smaller user base, slower price updates |
| API access | CLOB v2 REST API (free, rate-limited) + gamma read API | Public REST API (free) |
| Auth | EIP-712 + Polygon wallet (write); anon reads | API key for write; anon reads |
| Regulation | Unregulated (offshore Polygon protocol) | Not a financial product |
| Best for | Short-term binary bets, real-time probability, trading | Long-term forecasting, scientific questions, calibration research |
Decision tree
When to use Polymarket. When to use Metaculus.
Concrete scenarios with a recommendation. The two platforms are complements more often than substitutes — don't pick one and ignore the other if the question warrants both.
You want to bet on the 2026 election outcome with real money.
Polymarket has the deepest liquidity on US presidential and major-state political contracts; Metaculus has no money at stake.
You want a calibrated probability for AI capability milestones in 2030.
Long-horizon questions live on Metaculus; Polymarket's liquidity dries up beyond ~12 months and most contracts terminate sooner.
You want to track scientific question resolution (e.g. nuclear risk, AGI timelines).
Metaculus is purpose-built for the EA / rationalist forecaster community on long-horizon scientific topics. Polymarket rarely lists these.
You need a price feed for an AI agent to reason about world events in real time.
Polymarket's prices update continuously on liquid contracts; Metaculus prediction medians update on much slower cadence and require slower-moving panel input.
You are doing research on forecaster calibration as a phenomenon.
Metaculus publishes per-forecaster Brier scores + tournament data; Polymarket gives you market-implied probabilities you can score against settlement. Comparing the two is a research opportunity in itself.
You want to monetize being right.
Polymarket pays out USDC on winning contracts. Metaculus pays in reputation points + occasional tournament prizes — different game.
You want to be right in expectation across a 5-year question.
No real-money venue currently lists 5-year-horizon questions with sufficient liquidity to discipline pricing. Metaculus does, with a community track record.
SimpleFunctions bridge
Use both layers from one query.
SimpleFunctions normalizes Polymarket pricing today and ships a natural-language query at /ask that can ingest a Metaculus-style question (e.g. "When will GPT-5 launch?") and surface adjacent live Polymarket and Kalshi contracts with current prices. This bridges the panel-forecast layer (Metaculus) to the market-pricing layer (Polymarket + Kalshi) for any topic both cover.
Native Metaculus REST integration is on the SimpleFunctions cross-venue roadmap. For full Metaculus tooling today, the official Metaculus API at metaculus.com/api remains canonical.
curl "https://simplefunctions.dev/api/public/scan?q=AGI+by+2030"FAQ
Common questions.
Is Polymarket or Metaculus more accurate?
Both have strong calibration on questions both cover. Polymarket benefits from skin-in-the-game incentives that discipline pricing on liquid short-term events; Metaculus excels on long-range and scientific questions where markets have less liquidity. Academic comparisons (Tetlock, Augenblick, Hanson) suggest real-money markets are slightly better calibrated on overlapping near-term questions, while Metaculus retains an edge on topics where money does not flow.
Can I trade on Metaculus?
No. Metaculus is a pure forecasting platform — you predict probabilities but do not risk real money. Your predictions build a track record and a personal calibration score (Brier component + log-score variants). Polymarket is a real-money market where you buy and sell binary contracts paid out in USDC at resolution. Different products entirely.
Which platform covers more topics?
Polymarket lists thousands of active markets across politics, crypto, sports, world events, and entertainment, with continuous price updates. Metaculus has fewer but unique questions on long-term scientific and existential topics (AI capability timelines, biosecurity, nuclear risk, climate) that Polymarket rarely lists. The two are complements rather than substitutes for serious research.
How does SimpleFunctions integrate with Metaculus?
SimpleFunctions normalizes Polymarket and Kalshi pricing through one API today; Metaculus is on the integration roadmap. In the meantime, the SimpleFunctions natural-language query at /api/public/scan can ingest Metaculus question text and surface adjacent Polymarket / Kalshi contracts with live pricing — bridging the panel-forecast layer to the market-pricing layer for any topic both cover.
Do Metaculus predictions have any monetary value?
Indirect only. Metaculus runs occasional cash-prize tournaments (e.g. Forecasting Our World, AI biosecurity rounds) where top forecasters win money. Otherwise the only return is reputation, calibration track record, and access to forecaster-only insights. If your goal is monetary return, Polymarket is the venue; if your goal is becoming a better forecaster on hard topics, Metaculus is the venue.
Can I use both Polymarket and Metaculus through one API?
Polymarket exposes the CLOB v2 + gamma read APIs natively. Metaculus exposes a public REST API. There is no single aggregator API that ships both endpoints normalized today, but SimpleFunctions's NL-query layer can pivot from a Metaculus question to live Polymarket / Kalshi contracts on the same topic in one call. For full Metaculus pipeline coverage, the Metaculus API is canonical.
Is Metaculus more popular than Polymarket?
Different audiences. Polymarket has more total users and dramatically higher volume (USDC moves through it). Metaculus has a smaller but more concentrated forecaster community, including many researchers from EA, AI safety, and rationalist communities. By financial throughput, Polymarket is larger; by per-question depth-of-reasoning on scientific topics, Metaculus often is.
Which one is better for tracking AI capability progress?
Metaculus, currently. AI capability timeline questions (AGI by 2030, GPT-N performance on benchmark X by year Y) live on Metaculus and have established resolution criteria. Polymarket occasionally lists short-window AI-related contracts (model releases, benchmark hits) but does not maintain the long-horizon question library. SimpleFunctions can surface either set via its NL query at /api/public/scan.
Related
Deeper guides + neighboring comparisons.
- Connecting your AI agent to prediction market data in 5 minutes
Three integration paths — CLI, REST/Data API, MCP adapter — each with working code.
- How causal tree decomposition works in prediction market trading
Decompose a thesis, propagate probabilities, find disagreement with the market.
- Kalshi vs Polymarket — flagship head-to-head
Live cross-venue spreads, Brier calibration, fee math.
- SimpleFunctions vs Metaculus
Full head-to-head comparison.
- Prediction markets vs polls
Historical accuracy across the 2008-2024 election cycles.
Bridge both layers.
SimpleFunctions ships normalized Polymarket + Kalshi data plus an NL-query layer that can pivot from any Metaculus-style question to live market contracts. Public reads free, no auth required.