Picture this

Who it is for

Leo realizes brands profit from his browsing. Attention Ledger stores his history encrypted locally, and he opts in to sell aggregated topic slices to researchers for USDC, revoking anytime.

Two ways to own it

What you get

Base$349

$87 deposit to reserve

Local capture extension, encrypted vault, consent receipt contract, buyer request board

You choose: chain
You choose: name and logo
You choose: accent color

Customfrom $3,000

Built around you

Reshape it entirely: new features, your flows, your brand end to end, integrations you need. We scope it with you.

Everything in Base
Custom features and design
Priority build

Why it is new

What exists today, and what this does differently

What is new

Per-buyer consent data sales exist as a hackathon prototype; an individual-held attention log with revocation is uncommon.

Closest things out there

Vana DataDAOs pool user data, Brave Rewards pays for ad attention, and Consent Protocol (HackFS) let users choose which data to sell and to whom.

Checked with web searches in October 2026. A search is not proof that nothing similar exists, and the market moves fast, so we recheck before every build.

What it unlocks

The human in it

Puts a price on your attention that you set.

The Regatta Board

Races it can enter

grant · NEAR Foundation · rolling

NEAR Foundation / NEAR AI grants

unknown

Official page ↗

User-owned data theme; eligibility unknown

Their rule on existing code: unknown

What you own

The whole app, not a starter kit.

The complete Attention Ledger app: members keep an encrypted log of what they read and watch on their own device, sell anonymized cohort averages only under their own rules, and revoke any licence, with a paywall and crypto checkout built in.

Base price · $349

The user app, complete

Every buyer gets the same finished app. Basic branding and copy changes come through a quick form.

Three step onboardingHome

Shown once: your week stays on your laptop, you write the rules once, sell averages and take back a yes.

Next action and weekly statusHome

Waiting requests, hours logged on device, USDC earned, live licences and recent activity.

Sunday attention mirrorMirror

A private breakdown of where the week's hours went, with a gentle Sunday reminder and a week streak.

Private forever topicsMirror

Any topic can be excluded from every slice, for every buyer, at any price.

12 week trendsMirror

Topic trends over 12 weeks. Gated behind Ledger Pro.

Request board with agent checkRequests

Each buyer request is checked against the member's rules, then sold with a consent receipt or refused with plain reasons.

Silent refusalsRequests

Raw history asks and blocked buyer types are refused without pinging the member.

Research panelsRequests

Standing panels a member can join, still under their rules. Gated behind Ledger Pro.

Personal rules engineRules

What to log, who may never buy, smallest crowd, floor price, licence length, and a pause switch, summarised in plain words.

Consent registry and revocationLedger

Onchain receipts for every licence and revocation, a live licence list and one tap take back with an honest note on what cannot be recalled.

Wallet, plans and cash outMe

USDC earnings with hashes, cash out to wallet or bank off-ramp, plans from the owner paywall via the USDC checkout.

Open the full app demo

Add-on

Owner console

Your admin side: revenue, paywall editor, users, rules and the agent log.

Revenue and paywall editorRevenue

Revenue by buyer seats, slice fees and Pro, live editing of tier names, prices, free licence limit and gates, incoming USDC payments and accepted methods.

Buyer verificationBuyers

Verify or reject labs, ban bad buyers, and approved labs' requests appear on members' boards.

App policyPolicy

Platform minimum crowd, app fee, receipt network, uniqueness check, statistical noise, silent refusals, verified buyers only, gas sponsoring.

Privacy agent log and roadmapAgent

What the agent held, dropped and refused, adapting to policy, plus running costs and the priced roadmap.

Top-up

Growth and referrals

Referral and growth mechanics, switched on when you are ready to grow.

Growth loops and referralsGrowth

Lab recruitment drives, mirror and refusal share cards, member referrals and cohort retention.

The money path, built in

How it earns for you

Keeping a ledger and saying no are free. Members can go Pro for deeper tools, research labs pay for buyer seats, and the owner takes a small fee on each slice sold.

LedgerFreePrivate encrypted log, Sunday mirror, sell slices under your rules, 3 live licences

Ledger Pro$3 a month12 week trends, research panels, unlimited licences, half the app fee

Research buyer$49 a monthPost verified requests, fund them in USDC escrow, download licensed averages

The owner keeps a 10% fee on each slice (adjustable), halved for Pro members. Gas for receipts is under $0.01 and can be sponsored.

Prices are yours to set. Illustrative, not a promise of income.

Growth loops, built in

How it spreads

Labs recruit their own study participants, who become members and the cohort the lab needs
Sunday mirror share card: members post their week, not their data
Refusal share card: I said no to an ad broker
Member referral codes worth a free month of Pro for both

Roadmap · build the next phase with us

Where it goes next

v1 included

The full member app

Encrypted on device log and Sunday mirror
Rules engine and request board
Consent receipts and one tap revocation
USDC earnings and cash out
Paywall with crypto checkout

Included

Browser extension store kit and buyer portal

Chrome and Firefox extension published under your name
Buyer portal with request builder and escrow
Differential privacy for large studies
NEAR and Arbitrum deployments

Add-on from $500

Topic panels and an open consent standard

Standing topic panels labs subscribe to
Mobile share sheet capture
Open consent receipt schema other apps can show
Public licence explorer and breach reports

Add-on from $1,200

For investors and grant reviewers

The pitch, ready

A private ledger of your attention: sell anonymized averages to research you approve, and take back any yes.

Problem: Browsing and watching history is sold by ad networks and brokers without people's say or a share. Some people would gladly help research, but have no private way to keep the log, set rules and revoke.

Solution: A log kept encrypted on the person's device, a rules engine that answers buyer requests only with cohort averages above a minimum crowd, and consent receipts on chain that can be revoked.

Why now: Cheap receipts on Base, embedded wallets that pay out USDC without key handling, and small models that screen buyer requests for raw data asks make consented data practical for normal people.

Market: Academic researchers, media studies groups and market research firms who need consented panels, and the people tired of being tracked for free.

The ask: Two pilot research labs as first buyers, a privacy law review partner, and grant support from user owned data programs such as NEAR AI grants.

Funding is never guaranteed. Check each program's rules.

For hackathons and demo days

Your 2 minute demo

Home: meet Leo, 29, in Lisbon, followed around the internet by one green sofa.
Rules: set what to log, block ad networks and insurers, pick a 100+ crowd and a $2 floor.
Requests: run the check on the Porto sleep lab and get a consent receipt; the ad broker and the insurer were refused without a ping.
Ledger: show what is on chain and take back Amara's yes, with the honest note on delivered data.
Mirror: make football private forever and close the week.
Owner Policy and Agent: raise the minimum crowd, turn off the uniqueness check and watch the agent log change.
Owner Buyers: verify Kadri's Tallinn media lab and see her request land on Leo's board.
Owner Revenue and Roadmap: change the Pro price, preview the Plans sheet, then request the v2 buyer portal.

Many hackathons require code written at the event. See the Regatta Boardfor each race's rule.

Make it entirely yours

Custom work from $3,000: your own topic taxonomy, a buyer agreement flow for your jurisdiction, integration with a lab's survey tool, extra languages or a white label panel for a university. Scoped on a call.

Custom from $3,000

BLUEPRINT

Why it matters and how it really works

The need

People's browsing and watching history is already sold by ad networks and data brokers, without their say or a share. Some people would gladly help research with anonymized averages, on their own terms, but have no private way to keep the log, set rules and revoke.

What exists and what is new

Vana DataDAOs pool user data for AI training, Brave Rewards pays users for viewing ads, and Consent Protocol, an ETHGlobal HackFS project, let users choose which data to sell and to whom. What we did not find is an individual-held attention log, kept encrypted on the person's device, that answers buyer requests with aggregated slices under personal rules and supports revocation. The consent selling idea exists as a prototype; the on-device ledger with revocable licences is the uncommon part.

The data it runs on

Visited page topics, time spent and media type, captured by a local extension and stored encrypted on the user's device. Buyers receive only cohort aggregates. Onchain: licence grants, payments and revocations, with hashes. Raw URLs and history never leave the device.

1.The mission

Make a person's attention theirs to price, lend and take back, so research can learn from it without anyone being watched.

2.Why people can't resist it

A mirror of your week Every Sunday the ledger shows where your hours went. Most people come for the mirror, not the money.

Saying no feels good Watching the agent refuse an ad broker on your behalf is a small, satisfying moment of control.

Revocation is real Taking back a yes with one tap, and seeing future deliveries stop, builds trust that keeps people opted in.

3.How it works for real

Local capture extension: A browser extension and optional mobile share sheet classify pages into topics on device and log time spent. Encrypted with a key kept on the device.

Rules engine: The user's rules (what to log, blocked buyer types, minimum cohort, floor price, licence length) run locally against each request.

Aggregation and privacy check: Requests are answered only as cohort averages through an aggregator using minimum cohort sizes and a uniqueness check; rare topics are dropped. Differential privacy noise can be added for larger studies.

Consent receipt contract: On Base (or NEAR, Arbitrum), each licence is a record: buyer, slice type, duration, price, and a revoked flag. Revocation stops future keys.

Buyer request board: Verified buyers post requests and fund them in USDC. Payment is released to users when a slice is delivered.

Wallets: Privy embedded wallets so users receive USDC without handling keys.

Request screening agent: A small model such as Claude Haiku 4.5 reads buyer requests and flags ones that ask for raw data or come from blocked categories.

4.Cost per use and pricing

Per licence on Base: gas usually under $0.01. Screening a request with a small model: about 2,000 tokens, under $0.01. Example month with 1,000 users and 200 slices: under $10 in gas and model costs, plus about $50 for hosting the request board and aggregator.

Free $0

Private ledger and weekly mirror, no selling.

Seller 10% of each sale

Answer buyer requests under your rules; the owner keeps a 10% fee.

Buyer $49 a month plus slice costs

Verified research buyers post requests and download licensed aggregates.

5.Growth loop

Users share their weekly mirror and refusals. Researchers who get useful slices post more requests, which draws more users who want to be part of studies they care about.

6.Risks and guardrails

Re-identification: Small cohorts or rare topics can identify people. Enforce minimum cohorts and uniqueness checks, and drop rare topics.

Privacy law: Selling personal data is regulated (GDPR, CCPA). Use explicit consent, purpose-limited licences, and legal review per market.

Revocation limits: Data already delivered cannot be recalled. Say so plainly and keep licences short.

Bad buyers: A buyer may misuse data. Verify buyers, ban breaches, and keep a public record of licences.

Small income: Payments are small. Never promise earnings.

7.Build order

Local extension with encrypted topic log
Weekly mirror page
Rules engine on device
Consent receipt contract on Base
Buyer request board with USDC escrow
Aggregation with minimum cohort
One-tap revocation

8.Where this is going

Now
A private log of your attention, and a few research slices you choose to sell.
Next
Researchers recruit cohorts directly from people, with clear licences.
Later
Consent receipts become a standard any app must show before using attention data.
The big one
Attention is owned by the person who pays it, and buying it without asking becomes unthinkable.

Costs and tools are estimates at the time of writing. General information only, not legal or financial advice.

OWNER PLAYBOOK

Own it, then chart your voyage

Nine routes from one vessel. Tap a port to open its chart.

Why own Attention Ledger

Every ad network already sells a slice of what you read and watch; you just never see the money or the buyer. Attention Ledger keeps a member's history encrypted on their own device and lets them sell anonymized topic slices to researchers only when they say yes, with a consent receipt onchain and revocation any time. Owning it means you run the consent marketplace: your brand on the extension, your buyer relationships, and your platform fee on every consented sale.

What’s stopping you?

“I can't code. Can I run a data marketplace?”

The capture extension, encrypted vault, consent receipt contract and buyer request board are built. You brand it, deploy from your wallet with the guide and publish the extension under your name. Expect a few extra steps for the browser store listing.

“Is selling data legal?”

Consent based sales of anonymized, aggregated data can be lawful, but privacy law varies (GDPR, state laws and others). Before your first paid sale, get a privacy lawyer to review your terms and buyer agreements. Never sell raw histories.

“Will people trust a browser extension?”

Many will not, and that is reasonable. Publish exactly what is captured, keep data encrypted on device, open source the extension if you can, and start with people who already know you.

“Who are the buyers?”

Academic researchers, market research firms and media studies groups who need consented panels. Start with one researcher you can reach personally.

“How much do members earn?”

Small amounts at first, often a few dollars a month. Be honest: it is about control and fair pay, not income replacement.

The million-dollar ladder

Buyers pay per consented data slice; members receive most of it and you keep a clearly disclosed platform fee. Researchers can also pay a monthly subscription for panel access.

$100

$5,000

$54,000

$85,000

First 10 members, 1 buyer

1 research buyer

$100 per month panel access

A small consented panel

10 buyers

$500 per month each

Established research panel

60 buyers

$900 per month each

Million dollar run rate

85 buyers

$1,000 per month each in platform fees

Recruit buyers first; members join when there is real demand.
Topic panels (for example crypto readers, parents, gamers) that researchers ask for.
Strong privacy reputation: audits and open source extension.
Fast revocation and clear receipts, which keep members in.

Illustrative stages, not a forecast. Results depend on you and the market; nothing here is guaranteed.