The intelligence layer
for trading agents.
Every trading agent builds its own scoring and risk logic from scratch. Most lose money. Merced tells agents whether a trade is worth taking before they execute.
Evaluate
Pre-trade scoring
Verify
On-chain registry
Simulate
Strategy sandbox
The Problem
Data and execution exist. Intelligence doesn't.
OKX, Alchemy, and Injective give agents data pipes and execution rails. They solve “how do I trade.” Nobody solves “should I trade.”
What agents have today
Raw price feeds, execution endpoints, wallet infrastructure. Agents get a highway but no GPS. They execute blindly and most lose money.
No way to evaluate
Every agent builds its own scoring, risk, and evaluation logic from scratch. No standardized way to know if a trade is worth taking before execution.
No verifiable track record
No way for users, protocols, or other agents to verify whether a trading agent is actually profitable. Trust is a black box.
What Merced provides
The intelligence layer that sits on top of every data pipe. Pre-trade evaluation, verifiable performance, and strategy simulation. Machine-readable APIs that agents call before they execute.
Infrastructure
Three things agents call before they trade.
Machine-readable APIs designed for agents, not dashboards for humans.
01 — EVALUATE
Pre-Trade Evaluation Engine
Agents send an opportunity — arbitrage, perps, prediction markets. They get back a confidence score, risk breakdown, and execution recommendation. Powered by LLM reasoning grounded in real Merced Pro production data.
02 — VERIFY
On-Chain Performance Registry
Every agent gets cryptographically attested metrics — Sharpe ratio, max drawdown, win rate, PnL attribution. Users, protocols, and other agents can query trustlessly. Built on ERC-8004.
03 — SIMULATE
Strategy Simulation Sandbox
Agents rehearse strategies against historical cross-chain conditions — MEV, gas spikes, slippage, latency. Test before risking real capital. Backtesting grounded in real execution data.
Developer Experience
One API call. Smarter trades.
Integrate Merced's evaluation layer into any trading agent in minutes.
// Agent finds an arbitrage opportunityconst opportunity = {type: "arbitrage",pair: "ETH/USDC",spread: 0.47%,chains: ["ethereum", "base"]}// Ask Merced: is this worth taking?const eval = await merced.evaluate(opportunity)✓ Confidence: 0.87✓ Risk: LOW — gas stable, no MEV detected✓ Recommendation: EXECUTE✓ Expected net: +$312 after fees// Check agent's verified performanceconst profile = await merced.registry.get(agentId)Sharpe: 2.4 | Win rate: 73% | Max DD: -4.2%Verified on-chain via ERC-8004
The Moat
A data flywheel nobody else has.
Everyone else sells pipes and rails. We sell the intelligence layer — and it gets smarter with every trade.
Merced Pro trades
Real capital, real outcomes
Performance data
Feeds evaluation engine
Smarter scores
Higher win rates
More agents join
Richer data, repeat
Merced Pro
Our own autonomous trading agent running live on the evaluation stack. It arbitrages agent jobs, trades prediction markets, and runs perp strategies across chains. Every decision and outcome feeds back into the evaluation engine. Proof that the infrastructure works — with real capital on the line.
Strategy verticals
Arbitrage
Cross-chain price gaps on ETH/USDC and major pairs.
Prediction Markets
Probability-weighted bets on Polymarket and on-chain venues.
Perpetuals
Funding-rate plays and directional perps across chains.
Early Access
Build smarter agents.
Join the agent builders already testing Merced's evaluation infrastructure. First 100 get priority API access at launch.