For Platforms & Enterprise
Give customers market context, source evidence and dated model outcomes they can inspect for themselves. MoneySignals offers research data through REST and MCP, with explicit coverage and limitations. Our focus is helping people make independent decisions; qualified longer-horizon investment findings are not yet established.
Start the conversation Read the docsStart with the documented API feeds. Confirm coverage, delivery and usage requirements for your integration before agreeing on a partnership.
Economic events, market observations and model diagnostics with dates and limitations. Help users examine the evidence behind an idea.
Inspect available resolved outcomes, sample counts, losses and missing results. Direction accuracy and signed signal returns are distinct from executed portfolio performance.
Lobbying disclosures, congressional hearings, and Reddit and YouTube sentiment — served via the API today — plus collected options-IV, FINRA short-volume, and corporate-jet flight history. Confirm availability, freshness and delivery for each feed.
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.
A research integration needs source collection, coverage checks, model context and outcome review. Use our available interfaces, then validate that their dates, fields and limitations fit the experience you want to offer.
A newly trained model is not automatically a better model. Check source freshness, model versions and the complete measured record before drawing conclusions. Weekly or monthly research needs frozen selections, attainable entry prices, costs and comparable benchmarks. Our illustration of changing market conditions explains the idea; it is not evidence of measured investment returns.
Enterprise requirements are scoped individually. These are topics to discuss and confirm in an agreement, not capabilities included by default in a subscription:
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.
Review the losses and the gaps. The published event-signal record includes unfavorable outcomes. Inspect dates, denominators and pending or missing observations. It is not an independent audit or proof of profitable weekly or monthly portfolios.
The research documentation separates historical studies and daily diagnostics from funded holding comparisons and prospective hypothetical observations. Ranked-pick and trade-plan interfaces are retired; the default brief supplies aggregate evidence. Model scores do not establish a probability of profit. Present this material as research for independent decisions, with its limitations alongside the results.
Tell us what your users should see, and we'll come back with a concrete integration path.
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