Grand Cayman, Cayman Islands, 6th October 2026, ZEX PR WIRE — When a person chooses where to get their information, they lean on reputation. A recommendation from someone they trust outweighs a hundred anonymous reviews, and a known source beats an unknown one almost every time. Software agents are now inheriting that same shortcut — they increasingly decide which data to trust and act on — but without the judgment a person brings to the choice, and at a scale and speed no one can slow down. As agents begin to book, trade, research and pay on their own, whether the data beneath them can be trusted stops being an academic question and becomes the whole foundation.

That is the gap API3 is targeting with AirnodeHub, an early-access marketplace where AI agents discover, call, pay for and verify APIs without a human in the loop. The observation behind it is simple but easy to miss: almost everything being built for the agent economy is built for the consumer of data. Comparatively little is being built for the producer. AirnodeHub is a bet that the producer side is the one that matters.

The problem becomes obvious the moment an agent assembles an answer from several places. It might pull a price from one service, a weather reading from another and a flight status from a third, combine them, and act on the result. Every step in that chain is a point where the origin of the information can quietly disappear. When the output of one call becomes the input to the next, a single unverified hop early on contaminates everything after it. For casual use this rarely matters. For an agent moving money or making commitments on someone’s behalf, it matters enormously.

API3’s answer is not to check sources after the fact but to make each piece of data prove its own origin. The approach borrows from cryptography rather than reputation: a response is signed by the party that produced it, so any consumer can confirm who stood behind it using nothing more than a public key. A reputable intermediary signing is worth something; the original source signing is worth the most, because it attests to producing the data rather than merely passing it along. Crucially, these signatures compose — an agent can carry each one along a chain, so whoever consumes the final result can verify every underlying source.

This is not new territory for the project. API3 coined the term first-party oracle to describe data providers who run their own infrastructure instead of routing information through third parties, and it has operated production oracle feeds on signed data for years. AirnodeHub generalizes that idea from blockchain price feeds to any API response, and repoints it from smart contracts to agents.

What makes the timing notable is a shift in how data gets bought. Agents discover services by reading machine-readable descriptions, not marketing pages. They pay per request rather than per seat. They settle without a human clicking approve, and they chain calls relentlessly. Serving that buyer well is less about the data itself than about interface, payment and discovery — precisely the work most providers have never had reason to do. A marketplace that handles it on their behalf turns a hard, unglamorous problem into a distribution channel aimed at where their next customers actually are.

There is a reason the rest of the field has avoided this side of the problem: building for the source is harder than building for the consumer. It means convincing hundreds of providers, one at a time, that a new channel is worth their attention — a relationship business rather than a purely technical one. But in the long run the authenticity of the data is what wins the consumer side, and there is no shortcut through better technology alone. API3’s framing for the result is deliberately broad: a data layer for the agentic internet.

Whether AirnodeHub becomes that layer is an open question, and the project is upfront that the product is in early access. What the launch makes concrete is a thesis the industry has largely skipped — that the agent economy will eventually need provenance as a base primitive, not an afterthought, and that the way to deliver it is to empower the source rather than the middleman. The project’s broader work and the marketplace itself can be explored at api3.org and airnodehub.api3.org.

About API3

API3 is a decentralized oracle project that connects real-world data directly to blockchains and, increasingly, to AI agents through first-party, cryptographically signed data. It pioneered the first-party oracle model — in which data providers operate their own oracle nodes rather than relying on third-party intermediaries — and maintains more than 100 data feeds across dozens of networks. Through its Oracle Extractable Value (OEV) mechanism, API3 returns value generated by oracle updates to the applications that create it. Its latest initiative, AirnodeHub, extends the same source-signed data model to the emerging agent economy. API3 is governed by the API3 DAO. Learn more at api3.org and airnodehub.api3.org.

Process AI Makes Connect-and-Report System Available to Businesses and Advisers. Brisbane-based Chartered Accountant and technology founder Benjamin Whitehouse has announced the commercial availability of PAiD Stage 2, the connect-and-report phase of Process AI’s accounting platform. The release follows XAP, the live Stage 1 accounts-payable system for Xero, while Stage 3 remains targeted for the March quarter of 2027.

Australia, 6th Oct 2026 – Benjamin Whitehouse, Founder and CEO of Viden Holdings and Founder of Process AI Pty Ltd, has announced the commercial availability of PAiD Stage 2. PAiD, the Process AI Intelligent Database, connects with existing accounting records and places them within a dedicated database from which financial and analytical report packs can be prepared. The current system works with records from Xero, MYOB, QuickBooks, and other available files.

The release follows XAP, the live Stage 1 Xero accounts payable agent. XAP uses AI to process invoice information at the line-item level and support accounts-payable work within Xero. Stage 2 extends the development program through PAiD’s connect-and-report model. Stage 3, described as the complete package, is targeted for the March quarter of 2027 and must not be treated as delivered or guaranteed. Benjamin Whitehouse and Process AI have structured the stages to separate currently available functions from future development targets.

With PAiD Process AI Intelligent Database, each participating business is assigned a dedicated database and a human Financial Accounting Navigator, known as a FAN. The Navigator works with the system to prepare report packs that can include lender-ready financials, business valuations, management reporting, tax reconciliation, and fraud-detection assessment. Process AI states that client data remains in Australia, is not used to train AI models, and is maintained within isolated databases with figures traceable to source transactions.

Viden Advisory developed PAiD through Process AI to support businesses and finance professionals seeking more timely, source-linked financial information. The system is intended for SME owners, finance brokers, and insolvency firms, but its reports do not constitute a formal solvency opinion or replace advice specific to an individual business. The technology work extends Benjamin Whitehouse’s 32-year accounting career and his experience in business structuring, restructuring, capital raising, and corporate development. Benjamin Whitehouse of Brisbane maintains a professional profile that also includes working as a Chartered Accountant and pre-insolvency adviser.

About Benjamin Whitehouse

Benjamin Whitehouse is a Brisbane-based Chartered Accountant, pre-insolvency adviser, business adviser, and technology founder with more than 32 years of professional experience. He is Founder and CEO of Viden Holdings, the parent entity representing the group, and Founder of Viden Advisory and Process AI Pty Ltd. His work spans accounting, restructuring, corporate development, financial technology, and SME automation. Additional information is available through Benjamin Whitehouse’s official website.

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Drawing on more than a decade of experience building consumer digital products, CM MentalGrowth founder Egor Rubtsov explains how AI, scoring systems and connected devices can turn user data into actionable recommendations.

Cyprus, 6th Oct 2026 – At IFA 2026, beauty and wellness technology was presented less as a category of standalone devices and more as part of a connected digital environment. Wearables collect information about sleep and recovery, cameras scan the face, body assessment systems track physical indicators, and apps use this data to personalise content and recommendations.

Visitors at IFA 2026 in Berlin. Photo credit: IFA Management GmbH. Source: IFA Berlin official media gallery. 

Technology entrepreneur and CM MentalGrowth founder Egor Rubtsov attended the show to explore new products, join industry sessions and share practical insights with professionals from across the consumer technology sector.

The Beauty Tech & Wellbeing area featured wearables, digital fitness solutions, smart clothing, recovery technology and health apps. A dedicated Beauty Hub served as an interactive lab where visitors could try skincare devices, LED masks, body assessment systems and other beauty-tech products. The format demonstrated how technologies once associated with specialist treatments are moving into everyday home use.

One of the key sessions was Unboxing the Future of Beauty Tech and Wellness: Everything as a Score and You Are the Data.

The session examined how sleep, steps, recovery, readiness, biological age and skin condition are increasingly being turned into digital scores. In beauty tech, the data involved is especially personal: a smart mirror analyses the face, a connected haircare device assesses the scalp, and home devices are starting to take on tasks that once required a visit to a specialist.

The discussion went beyond the technical capabilities of these devices. How accurate are such assessments? Do they help people change their behaviour? Where is the line between a useful recommendation and added pressure? At what point should digital analysis give way to professional support?

“The real question starts once the metric has been calculated. A score on its own says very little. The product needs to determine what that information means for a particular person and what it makes sense to suggest next,” says Rubtsov.

This view is grounded in hands-on experience building consumer products. CM MentalGrowth has built seven B2C apps across health, fitness and wellness, generating over 2.5 million iOS installs and reaching more than 8 million users on the web.

The company works both with information that users share directly and with behavioural and progress data generated within its products. Rubtsov points to Mimika, a digital wellness product developed by CM MentalGrowth, as an example of this approach. Its scoring and AR-based facial movement analysis work behind the scenes, helping to assess how exercises are performed and tailor recommendations without overwhelming the user with technical metrics. 

IFA also showed that the next challenge extends beyond any single app.

Wearable devices can continuously track activity, sleep, recovery and other aspects of everyday life. Apps can take into account a person’s goals, past actions and changes in behaviour. AI can cross-reference these signals and work out what matters most at any given moment.

“The value of wearables goes beyond automated data collection. Their full potential will be realised when those signals can feed into apps that understand a specific user need. The result should not be another chart but clear feedback or a useful recommendation,” Rubtsov adds.

The shift towards connected wellness systems raises a commercial question as well as a technological one. Independent developers may understand specific user needs more deeply and be better placed to build focused, user-friendly products. Their future, however, may depend on whether they can work with data generated by wearables and connected devices.

Following IFA, Rubtsov sets out the central question for the next stage of the market:

“What does the future hold for independent app developers? With the user’s consent, will they be able to access data from watches, rings and other devices, or will those signals stay locked inside closed ecosystems? And what will ultimately make a user choose one service over another – access to more data, a more user-friendly product or the ability to solve a specific problem?”

About Egor Rubtsov

Egor Rubtsov is a technology entrepreneur and product leader with more than a decade of experience building and scaling consumer digital products. He is the founder and CEO of CM MentalGrowth Ltd, where his work focuses on product strategy, user analytics and B2C app development.
 

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Egor Rubtsov
Founder and CEO
LinkedIn: linkedin.com/in/egor-rubtsov-441502a9

CM MentalGrowth Ltd
Makarios Avenue 228

Limassol, Lemesos 3030
Phone: +357 97 978162
Email: team@mimika-app.com
Website: www.mimika-app.com 

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The post Egor Rubtsov Shares Key Takeaways from IFA 2026 on AI and Personalised Wellness appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section