Prediction Market Infrastructure & AI Agents
Prediction market infrastructure is the full technical stack that resolves settlement, oracle disputes, collateral management, and market-making logic, increasingly run by autonomous AI agents, built on top of contracts you already have live.
Building a prediction market is not hard to start; it is hard to sustain. The conditional-token settlement layer, oracle dispute handling, wallet security, and market-making logic that keep a platform liquid between elections and finals are where most teams get stuck. Prediction market infrastructure is the full technical stack that resolves those layers: the settlement contracts that mint and resolve outcome shares, the oracle that reports the result, the collateral and self-custodial wallet layer that holds user funds, and the trading and market-making logic that keeps prices liquid, increasingly run by autonomous AI agents instead of humans.
We build and integrate that stack on top of contracts you already have live. Protofire is a blockchain development company that has shipped 250+ projects since 2016 across 60+ networks and 95+ protocols, and our prediction market development comes from engineers who have already built pieces of this exact stack on Gnosis Chain: the Conditional Tokens Explorer that Omen-style markets settle against, and Safe, the smart-account wallet layer that makes an agent trading layer safe to deploy.
Most prediction market teams hit the same wall: volume spikes around elections and finals, then markets go stale for weeks. An AI-agent layer trades 24/7 to fill that trough, but building it in-house means Safe wallet security, state-constrained agent logic, oracle integration, and an onboarding UX most teams should not spend a quarter on. We deploy it for you, POC-first.
The prediction-market stack we build end to end
From conditional-token settlement through oracle resolution and liquidity layers to autonomous agent trading.
Conditional Tokens / CTF
Oracle Resolution
AMM / CLOB Matching
Collateral and Wallet
Subgraph Indexing
Autonomous Agent Layer
What we build
Prediction market infrastructure is everything a platform needs to let users bet on real-world outcomes on-chain: settlement contracts (typically a conditional-tokens, AMM, or CLOB design), the oracle that resolves the outcome, the collateral and self-custodial wallet layer, and the market-making logic that keeps prices liquid. The hard parts are rarely the happy path; they are settlement edge cases, oracle disputes, non-exploitable wallet permissions, and keeping long-tail markets liquid between the events that drive episodic human volume.
Oracle dispute resolution is the canonical edge case: when a reported result is challenged, settlement freezes and the question routes to an arbitration path, with outcome shares redeemed only once it is final; otherwise users get paid on a wrong outcome or funds lock up indefinitely. We have built pieces of this stack on Gnosis Chain since 2016, including the Gnosis Conditional Tokens Explorer, the interface that lets developers prepare, split, merge, report, and redeem the exact conditions (including Omen ones) that prediction markets settle against, now serving 300,000+ validated addresses at sub-second query speeds with 99.99% uptime. Benefits: a stack designed by engineers who have shipped settlement infrastructure · no rebuild of your existing contracts · the edge cases handled, not the happy path alone.
Autonomous AI agents turn an episodic market into a 24/7 one. An agent reads the open markets, commissions a per-market probability assessment from an AI oracle, sizes a position against that confidence (Kelly-criterion bet sizing is the standard approach), then places, manages, and exits trades with no human watching, covering markets people ignore and supplying baseline liquidity between major events.
The category is already proven at scale, though not by us: Valory's Olas Predict agents have generated 13M+ transactions on Gnosis-based prediction markets and on peak days account for 75%+ of all Safe transactions on the chain, and the Polystrat agent traded 4,200+ times on Polymarket in its first month. The honest framing matters: trading P&L is roughly breakeven, so the operator incentive is the staking-reward APR, not guaranteed alpha.
We help platforms communicate that to users from day one. Benefits: baseline volume between events · coverage of long-tail markets · a "set-and-forget" agent product no large incumbent offers yet.
We do not write a novel agent framework or ask you to redeploy contracts; we integrate proven, open-source stacks on top of what you run. Safe smart accounts are the wallet layer: every agent runs inside a Safe with hardcoded per-transaction and per-day spending limits enforced at the contract level, so a bad LLM output cannot drain the fund.
We are an official Safe Guardian and have deployed Safe across 120+ EVM networks securing $2B+ in assets. For agent logic we fork and adapt open-source autonomy stacks (Valory's Apache-2.0 `trader` and the Olas Open Autonomy framework) and wire them to an AI probability oracle (Mech Marketplace or equivalent) and, for outcome resolution, to oracle integrations like Chainlink.
To be unambiguous: Olas, Valory, Omen, and Polystrat are the open-source stacks and category benchmarks we build on, not Protofire clients. Benefits: battle-tested wallet security, not a hobby script · no agent-code lock-in to Protofire · settlement on the conditional-tokens, AMM, or CLOB contracts you already have.
This is for teams with a live, EVM prediction market platform that already has real users and fee revenue, not a pre-launch idea. The clearest fit is a mid-size platform whose volume spikes around elections and finals and then goes quiet, and that wants an agent layer as a differentiator the larger incumbents do not yet offer.
It also fits DeFi protocols adding prediction markets as a retention feature (letting users speculate on TVL milestones, peg events, or governance outcomes) and perpetual DEXes that need autonomous two-sided liquidity on long-tail markets, where the same Safe-based agent-wallet and bet-sizing architecture adapts directly. The non-negotiables are practical: live mainnet contracts, an ERC-20 collateral token (USDC or equivalent) in active use, Safe deployable on the chain, and a team willing to be honest with users that staking rewards, not trading alpha, are the incentive. Benefits: a clear go/no-go before you spend · a new agent-operator user segment · a cross-sell path from prediction markets into perp-DEX liquidity.
How an engagement works
POC Discovery
Agent Layer POC
Security Gate
Full Engagement
What platforms build with us
Engineering-led prediction market infrastructure since 2016
Protofire is an engineering-led blockchain development company with 250+ projects shipped since 2016 across 60+ networks and 95+ protocols. We maintain Solhint (the open-source Solidity linter used by 1M+ developers and built with Ethereum Foundation grants), serve as an official Safe Guardian, and are a Gnosis Chain ecosystem partner.
In the prediction-market stack specifically, we built the Gnosis Conditional Tokens Explorer (the interface to the Conditional Tokens Framework that Omen-style markets settle on, now serving 300,000+ validated addresses with sub-second queries and 99.99% uptime), and we have deployed Safe, the self-custodial wallet layer this agent infrastructure depends on, across 120+ EVM networks securing $2B+. That Explorer lets developers prepare, split, merge, report, and redeem the exact conditions that Omen-style prediction markets settle against.
We scope the AI-agent trading layer POC-first, on real markets with real users, so the hypothesis is validated before you commit to a full build.
“Building a prediction market is not hard to start; it is hard to sustain when volume spikes then markets go stale.”
Built the CTF interface that Omen-style prediction markets settle against, serving 300,000+ validated addresses with sub-second query speeds and 99.99% uptime on Gnosis Chain.
AI agent layer infrastructure
| Build in-house | Protofire | |
|---|---|---|
| Safe wallet integration | You design Safe limits and permissions | Safe deployed with contract-level spending limits built-in |
| Agent logic & oracle setup | Adapting autonomy frameworks, state constraints, Kelly-criterion sizing from scratch | Fork, adapt, wire to your contracts; 6-8 weeks |
| Market coverage | Manual trading or thin bot coverage | 24/7 autonomous agents covering long-tail markets |
| Team overhead | Quarter+ for your engineers on infrastructure | Your core team stays on protocol economics |
| Security review | In-house, then external audit | AI Security Express gate before mainnet |
FAQ
What is prediction market infrastructure?
Should we build the AI agent layer ourselves or fork Olas?
What stops an AI agent from losing user funds?
Are the agents actually profitable for users?
Who is this for?
How long does it take and what does it cost?
Do we have to rebuild our contracts?
Reviewed by Luis Medeiros, Field CTO at Protofire. Last reviewed: June 2026.


