AI-powered risk monitoring for your supplemental income
Reckonarity analyses market and platform data continuously, flags emerging risk before it affects your capital, and gives you a clear, evidence-based view of when to act and when to hold.
Reckonarity analyses market and platform data continuously, flags emerging risk before it affects your capital, and gives you a clear, evidence-based view of when to act and when to hold.
Whether it comes from freelance platforms, short-term lets, or a self-directed investment portfolio, secondary income tends to move with factors you cannot control directly: demand cycles, interest rate shifts, platform policy changes, and sudden market corrections.
Reviewing performance once a week, or only when something goes wrong, means risk is usually spotted after it has already affected your capital. A consistent, data-led framework closes that gap.
Reckonarity combines statistical modelling with continuous data processing so that risk signals reach you before, not after, they affect your income.
At the centre of Reckonarity is a layered approach: a short-horizon volatility estimator picks up near-term risk, while a longer-horizon classifier weighs historical patterns against current conditions. Neither model makes decisions for you. Instead, each output is translated into a risk band — low, elevated, or high — together with the specific data points that moved the needle, so you can understand why a recommendation was made and not just what it is.
Reckonarity's models are reviewed against historical scenarios before being applied to live data, and risk bands are recalibrated as new patterns emerge. The aim is consistency: the same input conditions should produce comparable guidance, regardless of market noise or sentiment.
This discipline is what separates a risk-aware recommendation from a reactive guess, and it is the standard the platform is held to as it processes your data.
Risk does not keep office hours, so neither does the monitoring. Here is the sequence that runs in the background of every connected account.
Market data, platform-level metrics, and your connected account activity are pulled in on a rolling basis, rather than at scheduled intervals, so the picture stays current.
Incoming data is compared against historical patterns and current volatility measures to produce a risk band for each income source and for your overall exposure.
When a risk band shifts, you receive a plain-language alert outlining what changed, why it matters, and the range of responses typically associated with that condition.
The underlying models are the same; how they are used depends on what you are trying to protect or improve.
A retail investor managing their own portfolio connects their holdings to Reckonarity to receive early warning when correlated risk builds across positions that looked unrelated on paper. Rather than reacting to a single headline, they see the combined exposure shift and can rebalance ahead of a broader downturn, guided by the specific factors driving the change.
Someone earning across several gig or rental platforms uses Reckonarity to track how demand and payout conditions are trending on each one. When a platform's risk band moves toward elevated, usually tied to policy changes or demand softening, they can shift effort or listings toward the platforms currently showing steadier conditions, instead of discovering the drop in a monthly summary.
A short list of the questions we hear most often before someone connects their first account.
Connected account data is encrypted in transit and at rest, and access within Reckonarity is restricted by role, so only the systems that need a given data point can read it. You can disconnect any account at any time, which stops further data collection from that source.
No. Reckonarity provides analysis and recommendations only. All transactions remain under your control and are executed through your own accounts and platforms, not through Reckonarity.
No. Risk bands and alerts are written in plain language, with the supporting data available if you want to go deeper. The technical terminology used elsewhere on this site is explained alongside each relevant feature.
Yes. The exposure mapping feature is specifically designed to track several income sources together and highlight where their risks overlap, rather than treating each one in isolation.
The platform is built to work with market data feeds and account-level reporting from supported platforms and brokerages. Supported connections are listed during setup, and coverage is expanded based on demand.
When a data source changes its format, ingestion is adjusted to match it. If a temporary gap occurs, you are notified so you know which signals may be incomplete until the connection is restored.
Connect an account, or simply review the risk models first. Either way, you decide what to do with the information.
No obligation, and no automatic trading. You keep control of every account you connect, and you can disconnect at any time.