DataDID Plugin Just Got a Major Upgrade: Earn Passive Income While You Browse

DataDID Plugin Just Got a Major Upgrade: Earn Passive Income While You Browse

This has been in the works for a long time — both the idea and the execution.

Today, we’re officially announcing the most important feature update we’ve shipped for the DataDID plugin: the Data Mining module is now live.

Something You Probably Haven’t Thought About

Every time you open a browser, you’re generating data — which categories of sites you visit, which pages hold your attention longer, how your interests drift across different topics throughout the day.

AI companies are paying real money for exactly this kind of data. Not because they want to know who you are — but because authentic sequences of real user behavior are the scarcest raw material for training general-purpose AI agents. It can’t be synthesized. It can’t be scraped.

That money has never made it back to the users generating it.

DataDID is here to change that.

How the Data Mining Module Works

As you browse normally, your browser naturally produces observable, public behavioral signals: which categories of sites you visit, how long you spend on each page, what topics the content falls under. None of this involves passwords, identity information, or anything private — these are objective signals that exist at the public behavioral layer of the browser.

What we do is structure this public behavioral data, run it through ZK Proofs (Zero-Knowledge Proofs) for local anonymization, and package it into behavior datasets formatted for AI training.

One important thing to be clear about: your raw data never gets uploaded. What goes on-chain is a verifiable “mathematical proof” — a proof that you have diverse browsing behavior, not the browsing history itself. Your privacy boundary is set at the design level.

How Points Are Calculated: Two Systems

Online Points — Simply having the plugin active signals that your node is available. Points are issued hourly. The base rate is 6 points per hour, with a streak multiplier that increases the longer you stay consistently online, up to a maximum of ×1.5. Daily cap: 108 points. Simple rule: the more consistently you participate over time, the more you earn.

Data Contribution Points — This is where we spent the most time on design. We deliberately chose not to measure by traffic bytes — byte counts are a black box, users can’t feel what they’ve contributed, and AI training data derives its value from behavioral diversity, not volume. So we measure by the number of unique domains effectively visited.

Visit 20 distinct domains in a day, spanning categories like tech, finance, and education, and you’re eligible for the highest diversity and quality multipliers. The system also has anti-gaming measures built in: pages you spend fewer than 5 seconds on don’t count, and sub-pages under the same second-level domain are consolidated.

A real example: A user who has been online for 7 consecutive days and visited 20 quality domains the day prior can earn up to 101 points — without doing anything at all.

A Few Details Worth Knowing Upfront

The Data Mining module is off by default. When you enable it for the first time, a clear authorization dialog explains exactly what data is collected, what it’s used for, and that you can revoke consent at any time. The toggle lives in the plugin — control stays with you. Turning it off stops collection immediately, but your accumulated points remain intact.

The plugin also launches a companion dashboard so you can see your stats in real time: today’s online hours, yesterday’s point breakdown, your 7-day point trend, and your current data quality tier. The web app offers a 14-day daily detail view, with a color-coded stacked bar chart that shows the ratio of the two point types at a glance.

What DataDID Is Actually Trying to Do

Some projects turn idle bandwidth into income. Others monetize residential IPs. The DataDID Data Mining module has a sharper focus: return ownership of personal browsing behavior data to users, while turning ZK-anonymized behavior datasets into a visible, ongoing income stream in the AI era.

Users have never been bystanders in the data economy. They just never received their share of the returns.

That changes now.

Open your DataDID plugin, find the Data Mining module, flip the switch, and let it run.

👉 datadidapp.memolabs.net