For Platforms & Enterprise
Modern brokerages and prediction-market platforms don't win on raw quotes — every competitor has those. They win on how much the product helps a customer decide. Robinhood bundles Morningstar research into its paid tier for exactly this reason: analysis is the subscription differentiator, data is the commodity underneath it. MoneySignals licenses that layer — signals, execution-ready trade plans, graded outcomes, and alternative data — as an API your product can build on.
Start the conversation Read the docsThese are the same feeds behind our public API — a partnership is a delivery and scale conversation, not a build-from-scratch project.
Event-driven signals with entries, targets, and stops — generated each trading day, resolved and graded after. Ready to render in your product as-is.
Every call is scored against what actually happened, and the record is public — wins and losses. Your compliance team can audit the history before anyone signs.
Corporate-jet flight tracking, lobbying disclosures, congressional hearings, and Reddit and YouTube sentiment — served via the API today — plus collected options-IV and FINRA short-volume history. Feeds most platforms never build.
REST with an OpenAPI 3.1 spec, plus a hosted MCP server — so both your app and your users' AI agents can consume the same analysis directly.
The analysis layer is a full-time engineering product: collection, feature engineering, training, and outcome grading, running nightly. Licensing it turns months of quant infrastructure into one integration.
A static research product decays: markets adapt, and whatever worked last year gets arbitraged away. Our pipeline recomputes 400+ engineered features per ticker nightly, retrains models on a rolling cadence, and re-ranks feature importance with every retrain — including anomaly detectors that stay quiet for months and matter exactly when regimes break. Your product inherits that constant readjustment without building any of it. See how the rotation works →
Enterprise terms are custom by design — the same items promised on our pricing page, scoped to your platform:
A typical conversation starts with which surfaces you want to power (a research tab, a daily digest, an in-app agent) and lands on delivery, volume, and support terms.
We'll show you the losses first. Every signal we generate is resolved against real outcomes and published on our live track record — including the categories that are currently underperforming. Our own docs tell you which parts of the system have cleared statistical validation and which sit near coin-flip.
That transparency is the point of partnering with us: your team can audit the full history before anything ships, and your users see honestly-labeled analysis instead of marketing numbers. Nothing we deliver is investment advice — it's decision support, graded in public.
Tell us what your users should see, and we'll come back with a concrete integration path.
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