Forecast AI
Seven specialized agents feed a Consensus Engine that turns market signals into calibrated probability forecasts for Kalshi and Polymarket traders.

Forecast AI Multi Agent Consensus Bot for Polymarket and Kalshi
What is Forecast AI?
Forecast AI is an open source, seven agent forecasting system that turns Polymarket, Kalshi, and Robinhood Predict data into calibrated probability forecasts and trade recommendations for prediction market traders.
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Open the official site and get started in a few clicks.
Forecast AI Overview
Forecast AI is an open source multi agent system that turns raw market signals into calibrated probability forecasts for prediction markets. Instead of asking one language model for a guess, it runs seven specialized agents in parallel, each one working a separate data stream: news, social sentiment, community discussion, structured research, macro indicators, on chain activity, and live order book data from Kalshi and Polymarket. Each agent produces its own probability estimate, and a Consensus Engine combines all seven into a single calibrated number with a confidence score and a short trade recommendation.
The tool is built for people who want an evidence based edge on event outcomes. Active traders on Robinhood Predict use it to check their own read against a structured forecast before placing a trade. Developers who want a self hostable intelligence layer can clone the code and extend it with their own agents or LLM providers. Anyone watching Kalshi event contracts or cross checking Polymarket pricing can use the public feed for a second opinion. It does not place trades for you. It formats a recommendation you can review and act on yourself through Robinhood's Agentic Trading MCP endpoint.
The core idea behind the design is that a single model prompt tends to lean on recent headlines, miss context, and struggle when evidence points in different directions. Forecast AI splits the work instead. Each agent stays inside its own domain, and the Consensus Engine applies weights based on each agent's past accuracy, then runs a calibration step that pulls uncertain forecasts back toward 50 percent rather than letting one noisy signal dominate. A Historical Memory layer stores past forecasts and outcomes so the weighting improves as more markets resolve. The project's own benchmarks report a 24 percent improvement in Brier score over a plain GPT 4 baseline under matched conditions.
What sets it apart from a typical trading bot or single prompt wrapper is the separation between analysis and execution. The system hands off a structured recommendation, action, target contract, confidence level, and risk notes, and leaves the actual buy or sell decision inside the user's own Robinhood account. The full agent architecture, prompts, and consensus math sit in the open repository, so the reasoning behind any given probability is not hidden behind a closed API. A public dashboard also shows the live consensus next to real market prices across Kalshi, Polymarket, and Robinhood Predict, so you can see how the model performs before trusting it with real capital.
Forecast AI Key features
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Seven Specialized Agents
Each agent works on one data stream: news, social, Reddit, research, macro, on-chain, and market data. They run in parallel and never mix their inputs.
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Consensus Engine
This engine combines all seven agent outputs into one probability. It weighs each agent by past accuracy and pulls low confidence forecasts toward 50 percent.
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Historical Memory
Past forecasts and outcomes get stored so the system learns which agents to trust more over time. This helps it stay accurate on markets that run for months.
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Robinhood Trade Recommendations
The consensus turns into a structured prompt with an action, target contract, and confidence level. You paste this into Robinhood's Agentic Trading MCP and decide whether to trade.
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Public Read Only API
Anyone can pull live consensus data for crypto, macro, and tech topics. Refresh times run from two hours up to twelve hours depending on the market.
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Multiple LLM Providers
The system uses OpenAI by default and switches to Gemini if that fails. It also supports Anthropic, OpenRouter, and local Ollama models.
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CLI and Server Modes
Developers run one shot forecasts, watch loops, or a full FastAPI server from the terminal. This makes it easy to fit into other tools or pipelines.
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Open Source Codebase
The full code sits on GitHub under Apache 2.0. Nobody's funds or credentials pass through the system since it only formats trade suggestions.
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$FORAI Holder Tiers
Holding the token unlocks higher analysis limits, deeper agent runs, and stronger models on the hosted version. The core software stays free and open for anyone to self host.
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Cross Venue Market Data
The Market Agent reads live prices from Kalshi and Polymarket to ground each forecast in real pricing. This keeps the consensus tied to what traders are actually paying.
Forecast AI Fees
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Core software The open source core has no license fee and can be self hosted at your own compute and LLM API cost.
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FactsAI research Optional FactsAI deep research requests cost 0.012 dollars each when enabled.
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Public API The public API is free but rate limited and capped by a server side monthly compute budget guard.
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Hosted tiers Free accounts get limited analyses, while higher analysis volume and stronger models unlock at 1,000 and 10,000 FORAI token holdings.
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Trading fees There are no platform trading fees since Forecast AI only recommends trades and never executes them.
How to use Forecast AI
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Clone the repository
Copy the codebase from the official GitHub repository.
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Run the setup command
Execute the interactive setup script to configure your LLM API keys and environment variables. You can also add an optional FactsAI key for source-backed research.
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Start the monitoring loop
Launch the public feed or a continuous watch loop using the command line interface. This begins background tracking.
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Generate a forecast
Provide a market query or identifier to generate a one-shot prediction.
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Review the consensus report
Read the final probability, confidence score, and agent reasoning. The system filters anomalies and applies calibration to the data.
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Generate the trade recommendation
Convert the consensus output into a structured trade prompt for Robinhood.
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Execute or discard the trade
Paste the prompt into an authenticated client connected to the Robinhood Agentic Trading MCP. You must manually approve or reject the action inside your own account.
Forecast AI Screenshots
Forecast AI Review
Pros
- It runs seven specialized agents in parallel so no single data stream skews the forecast.
- The Consensus Engine applies Bayesian averaging and historical accuracy weights before giving a final probability.
- Public benchmarks show a 24 percent improvement in Brier score over a vanilla GPT-4 baseline.
- Every forecast includes a short rationale from each agent, so users see the reasoning trail.
- It never places trades itself, so users keep full control of execution inside their own Robinhood account.
- The full codebase is open source under Apache 2.0, so anyone can audit or extend it.
- Users can self host the system and keep their own API keys and compute under their own control.
- It supports OpenAI, Gemini, Anthropic, OpenRouter, or local Ollama, and switches providers automatically if one fails.
- The Market Agent pulls live order books and midpoints from both Kalshi and Polymarket to ground forecasts in real prices.
- Historical Memory stores past forecasts and outcomes, so agent weightings improve over time.
- The CLI and FastAPI server let developers run one shot predictions or continuous watch loops from the terminal.
- The Robinhood Recommendation Engine formats a ready to paste prompt with action, target contract, and risk notes.
- The public read only API gives free access to live consensus data for crypto, macro, and tech topics.
- A rate limit and monthly compute budget guard keep the public feed stable and free from abuse.
- The live dashboard at forai.tech shows real time consensus against market midpoints across three venues.
- The sole official $FORAI contract address is published on the website, GitHub, and X for easy verification.
- The system holds no custody of user funds or credentials at any point in the process.
Cons
- Users must supply and pay for their own LLM API keys to run the agents.
- The tool never places trades, so users must manually copy each recommendation into Robinhood's MCP client.
- Public API refresh cycles run two to twelve hours, too slow for fast moving markets.
- The public feed enforces rate limits and a monthly compute budget cap.
- Optional FactsAI research queries add a per call cost on top of normal use.
- Higher analysis limits and stronger models are locked behind $FORAI token holding tiers.
- Local setup requires cloning the repo and configuring multiple environment variables through the CLI.
- The project is still in active development, so parts of the pipeline may change or break.
- Coverage is limited to a curated set of topics like crypto, macro, and tech.
- Users must independently verify the $FORAI contract address since no official custody or verification step is built in.
Our verdict
Forecast AI is an open source tool that runs seven agents (news, social, Reddit, research, macro, on chain, and market data) in parallel, then blends their outputs into one calibrated probability with a confidence score and a trade suggestion. The Consensus Engine is the strongest part of the design, since it weighs each agent by past accuracy and pulls weak signals back toward 50 percent instead of letting one loud data source skew the call. The project claims a 24 percent improvement in Brier score over plain GPT 4, and while that number comes from the team itself, the fact that every agent's reasoning trail is visible makes the claim easier to check than most. It falls short in one clear way: it does not place trades, so the output is only as useful as the person reading it and deciding what to do inside their own Robinhood or Polymarket account. This tool fits developers who want a self hosted forecasting layer and active traders who want a second opinion beyond the order book, but anyone looking for a bot that trades on autopilot should keep looking elsewhere.
Is Forecast AI safe & legit?
codebyollie built Forecast AI as an open source project under the Apache 2.0 license, so anyone can read the full code on GitHub. It never touches your funds or logs into your accounts; it only produces a trade recommendation that you must manually approve inside your own Robinhood session, and the team posts updates and the one official $FORAI contract address on their X account and site. No major red flags stand out, but the project is still early stage, so check the code yourself and confirm the contract address before touching the token.
X account intel @forecast_agents
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Based in Europe
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Joined X October 2025 9 months ago
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Username changes 7 renames last on Jun 30, 2026
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Signup source Eastern Europe (Non-EU) App Store
Public profile signals from X. Use as one input alongside other due-diligence.
Wallet blacklist scan checked Jul 25, 2026
- MetaMask Not flagged
- Phantom Not flagged
- ScamSniffer Not flagged
- EtherAddressLookup Not flagged
- Keplr Wallet Not flagged
Domain forai.tech checked against public crypto wallet blacklists.
Forecast AI Updates
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- 10 replies
- 6 reposts
- 22 likes
- 5.9K views
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- 2 replies
- 11 likes
- 679 views
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- 1 replies
- 4 reposts
- 13 likes
- 565 views
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Who's still awake tonight? 🌙
Been deep into V1 prep and had a thought.
The real value isn't clicking the button. It's knowing when to click it.
Everyone talks about execution. But execution isn't really the bottleneck anymore.
We already have infrastructure like Robinhood Predict, Kalshi, Polymarket, trading terminals, and APIs. Placing a trade is easy.
The hard part is getting AI to understand the chaos of the real world - news, social sentiment, macro events, market context, other traders behaviour, insiders - and turn all of that into something useful.
Once you solve that, execution takes milliseconds.
Back to building. Need to stick to the plan. your thoughts on this? or I need to sleep a few hours😃- 1 reposts
- 7 likes
- 458 views
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HM forecasters. Another all-nighter ahead.
Working on the Forecast AI V1 Custom Agent Swarms that you will be able to run directly on website. The goal is to have everything ready by the end of tomorrow and open V1 to our first users.
V1.0 will let you search any live market on Kalshi, Polymarket, or Robinhood Predict, or simply enter your own prediction question.
Once submitted, Forecast AI launches a full 7-agent swarm powered by @factsdottrade Research AI. Each agent researches the topic independently before a final consensus forecast is generated.
Still lots of testing and polishing before the release.
More updates soon.
- 4 replies
- 13 likes
- 809 views
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HM forecasters. Sharing some updates.
The backend infrastructure for Custom Agent Swarms is already in place.
https://github.com/codebyollie/forecast-agents
Right now I'm focused on the frontend - bringing everything together into the User Forecast AI dashboard.
Soon you'll be able to search ANY market on @Kalshi or @Polymarket and launch a full 7-agent consensus forecast directly from your profiles. Includes seamless cross-venue support for @Robinhood Predict markets with automated execution via Robinhood MCP. Usage will be tier-based, depending on your $FORAI holdings.
This isn't the final version yet. Will be doing a lot of testing and polishing before the official launch to make sure everything works exactly as intended.
I'll keep sharing every step along the way.
Stay tuned.
- 3 replies
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- 14 likes
- 1.6K views
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A bit of transparency.
People are asking about our X connections and tokens launched on Solana, so I think it's better to explain everything openly.
About a year ago I started building Polybased - an SDK for Polymarket. The goal was simple: build a developer toolkit that was easier to use and more complete than what existed at the time.
I put a huge amount of work into it. I launched a token without KOLs or paid promotion that did well I think, became one of the early Polymarket affiliates under their previous program, was accepted to Polymarket Builders program with badge on X and spent months trying to grow the project.
As the project grew, I expanded the team. Looking back, that was my biggest mistake.
I trusted people with access to the wallet, the X account, and the GitHub repositories. At the same time Polymarket significantly improved their own SDK, which reduced the need for ours, and we struggled to get the support we needed to keep moving forward.
Eventually I stepped away from the project. that was another big mistake.
Unfortunately, because other people still controlled some of the infrastructure, the project evolved in a direction I no longer agreed with. New tokens were launched under this account and polybased name, and decisions were made that were completely outside of my control. as the result they lost X badge from Polymarket and were excluded.
Forecast AI. I started it being in the team. It was simple - 7 agents do some work for you. nothing complex, simple tasks. I continued improving it in Prediction direction. They again used it to launch tokens on PF using my initial wallet and other wallets.
From day one of official public launch of product I have reclaimed full control. My solana wallet is under their control but I don't care anymore. It is poisoned and spoiled.
I alone control the GitHub repositories, the X account, the website, and the development. I couldn't look at what people do with my work. Same as happened on Saturday with vamp token. It is hard to take that someone use your efforts to get money. it is painful but it is life. we must be always ready.
I decided to build around Robinhood because I genuinely believe that it has a good potential. It feels like the beginning of something much bigger, and I want Forecast AI to be part of it.
Yes, I launched $FORAI. It is my second token. First was POLYBASED on Solana. The reason is straightforward: running AI agents isn't free. LLM inference, APIs, infrastructure, and hosting all have ongoing costs. The token helps fund continued development while giving holders access to additional functionality we're building. applying to programs can also help to get some grants to be used for development and token and marketing.
I know trust isn't built with a tweet. But I am going to keep doing what I do. I was thinking about new X account. but again, too much effort was done. I still have contact with active builders. I still a member of Polymarket builders closed community. I think have all chances to succeed. will not be easy.
Thanks to everyone. You decide.- 9 replies
- 1 reposts
- 14 likes
- 916 views
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community alignment comes first
let's win- 1 replies
- 8 likes
- 729 views
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Quick update. 🔮
Applied to the Builder Programs at @PolymarketDevs and @Kalshi today.
Hopefully we'll see more early-builder initiatives from @RobinhoodApp too. Programs like these are a great way to grow the ecosystem and encourage more developers to build.
Excited to keep building alongside the prediction market community. back to building.
- 2 reposts
- 11 likes
- 446 views
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Could be huge.
Love seeing how @RobinhoodApp keeps expanding - especially its focus on prediction markets and AI.- 4 likes
- 543 views
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- 5 replies
- 1 reposts
- 11 likes
- 520 views
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A small preview of the first real $FORAI holder utility we’re building.
Once on-site agent runs go live, there will be 3 access tiers on Forecast AI.
The idea is simple: Anyone will be able to run the 7-agent swarm directly on http://forai.tech without installing anything or bringing their own LLM API keys or any other costs.
Because every swarm run has a real cost behind it, on-site usage will be limited - with higher $FORAI tiers unlocking more runs and more advanced capabilities.
We cover the LLM/API infrastructure costs and partner APIs costs with our funds including creator fees from @ponsdotfamily. In other words, part of the fees generated by $FORAI goes back into building and running utility for the community. Later with userbase growth we can add subscription but for holders we will use special offers.
If you prefer to self-host Forecast AI, nothing changes.
The core remains open source. You can deploy the agents yourself, use your own API keys and run the infrastructure independently - in that case, the API/LLM costs are yours. All you need is our open-sourced code on our Github.
Still working through the exact limits and economics while we build and test it. More details before feature release.
Open for feedback and discussion.
- 8 replies
- 1 reposts
- 17 likes
- 901 views
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A little break for some humor on the feed today. 😄
Our Forecast AI 7 agents when their forecasts are too far apart to reach consensus…
or which is the best place to predict: @Polymarket, @Kalshi, or @RobinhoodApp Predict. 💀- 1 replies
- 9 likes
- 384 views
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Another small milestone for Forecast AI. 🔮
Forecast AI has been submitted for launch on @ProductHunt - July 31.
Now have a few days to finish and polish as much of the planned work as possible before we go live - including one of our biggest updates yet.
Going to be a productive few days.
I’ll keep you updated as we build toward launch.
Launch preview: https://www.producthunt.com/products/forecast-ai?launch=forecast-ai
Back to work.- 13 replies
- 1 reposts
- 23 likes
- 967 views
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Quick upd. Working today on making Forecast AI easier to understand and easier to use.
Preparing a full visual breakdown of what was explained in post below of how our 7 agents go from a market → independent research → consensus → final forecast.
At the same time, working on bringing this entire flow directly to http://forai.tech. ETA - 2 days. Will do my best to release earlier.
No installation. No local setup. Just choose a market and let the swarm work.
Will show more soon.
https://github.com/codebyollie/forecast-agents
Also, some news coming this week. Can’t give you the exact day yet, but it’s coming.
Back to building.
- 27 replies
- 2 reposts
- 34 likes
- 735 views
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Spent part of the night polishing the User Dashboard - improving the experience and getting everything ready for what comes next.
Now ready to move on to the next big piece.
Today we start working on bringing the 7-agent swarm directly to http://forai.tech.
The goal: let users choose a market and run their own Forecast AI analysis directly from the website - no local install, no environment setup.
Access and analysis depth will eventually scale with your $FORAI tier, with more capabilities and stronger models opening up for holders.
This is probably one of the biggest product steps since launch.
Back to work. Will keep you updated as we build.
- 1 replies
- 16 likes
- 746 views
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- 2 replies
- 2 reposts
- 13 likes
- 474 views
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ess than a week passed since we launched Forecast AI and $FORAI. It’s been a productive first week - and a pretty intense one.
We shipped the first working version of Forecast AI, brought our 7-agent forecasting system live, launched the public dashboard and started building $FORAI holder utility, and opened our Telegram community.
But probably the most important part: we started building a real community around Forecast AI.
We also integrated with the great team at @Polyfactual and @factsdottrade, and listed on
@Polymartapp, and started opening more doors across the prediction market ecosystem.
Saturday brought our first small disappointment and challenge - someone launched a fake token using our name. I guess that’s also part of building in public. But such situations make us only stronger.
So one reminder: there is only one $FORAI and only one Forecast AI. Always verify through our official channels.
Next week is already packed. Will be hyper productive.
More platform improvements. New features. More $FORAI utility. New integrations and partnerships. And a much deeper dive into the @RobinhoodApp ecosystem and what we can build around agents + prediction markets.
Still very early. A lot will change, a lot will improve, and there will definitely be challenges along the way.
Thank you to everyone who supported us, gave feedback, joined the community, contributed ideas, or simply believed in the progress we’re making.
First week done.
Grateful for all of you. Now back to building.
- 8 replies
- 2 reposts
- 18 likes
- 899 views
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Another small Sunday update - the Forecast AI User Dashboard is now live.
http://forai.tech/profile
You can now:
→ Create your profile and log in via email or wallet with @privy_io
→ Connect your wallet and automatically verify your $FORAI holdings and current tier and receive your first badges (will play role in future)
More information and functionality will start appearing inside the dashboard once we finish and deploy the next major release: running your own 7-agent Forecast AI swarm directly on the website - without installation and local environment.
Next week is going to be very productive as we are going to release many features and improve the current platform. Stay updated.
@RobinhoodApp @Polymarket @PolymarketDevs @kalshi
- 2 replies
- 1 reposts
- 13 likes
- 931 views
Forecast AI Reviews & Comments
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