@DavidBurkett38 You also work on turning public discourse on privacy into a toxic cesspool. Congratulations! No one wants to work with anyone who leads with personal attacks. No thanks, we'll build the future of privacy without you. Cheers.

Want to connect your AI agent 🤖 to @Gemini to trade Predictions, Crypto, Stocks, and more? Just point your agent to: and say: /integrate-gemini for spec-verified REST (OpenAPI 3.0), modern WebSocket, or FIX (Protocol 4.4.) integration guidance.

We just refactored our @Gemini Developer Platform docs to reflect our Super App vision. Now, all product lines (Crypto, Predictions, Stocks, Perpetuals, Margin, Staking, Clearing, etc.) have their own dedicated guides, quickstarts, and method-badged endpoint docs. Easily find info about our MCP server, API samples, and Agent skills, as well as API CLI and SDKs coming soon. Docs are AI-agent friendly (llms.txt, agent-card.json, /agents.md), making it easy for agents to discover and build across our entire super app. Take a look and let us know what you think! 📄🤖

Excited to announce a letter of intent with @apexfintech to offer @Gemini Predictions to their customers. This is our first predictions distribution deal and we're looking to build of this momentum. If you are interested in offering predictions (e.g. sports, politics, economics, and more) to your customers, DM me. We've built a fully-regulated stack (DCM, DCO) that we operate and have made it easy for FCMs to seamlessly integrate and offer predictions to their customers. Join us. Onward!

More predictions API news. @Gemini just shipped a public predictions market volume endpoint. You can now retrieve our predictions trade volume for a completed UTC day or hour, broken down by category, without aggregating individual trades. Retrieve category volume for a single UTC day with: GET /v1/prediction-markets/volume/{date} or append /hourly for hourly data: GET /v1/prediction-markets/volume/{date}/hourly Onward!

For predictions API traders, @Gemini has just shipped standardized sports taxonomy. The new sportsMarket object brings normalized JSON metadata across 10+ sports (NFL, MLB, Soccer, NBA, Tennis, Golf, MMA, Hockey, Cricket, Motorsports) allowing for more programmatic market discovery. Structured metadata classifies sport, type (moneyline, spread, total, prop, futures), subject (team, player, contest), scope (1st half, 1st 5 innings, full contest), and metric (points, runs, passing yards, strikeouts). Use composable API filters to query events directly via GET /v1/prediction-markets/events with query parameters like: sports_market_type=prop&sports_market_metric=passing_yards Check it out and let us know your thoughts. Onward!

We just released new order modification functionality. Drag order lines on charts to modify price and click order line pills to modify quantity. Markets move fast and you can too with @Gemini Active Trader. Check it out and let us know your thoughts. Volume up! 🔊🎶