Atlas Protocol
Economy
Every economy needs a beginning. Atlas starts with a single human, a cryptographic key, and a simple idea: verified people earn equal shares.
It starts with one person
Imagine a blank network. No users, no content, no authorities. Just one person — the trust anchor — holding a cryptographic key.
This person is, by definition, the first verified participant. They issue an identity proof to themselves — a simple cryptographic attestation that says "I am a unique, accountable participant." This proof is valid for a maximum of one year.
With that single act, the economy begins. The trust anchor starts earning FairShares — the network's economic unit — and gains the ability to allocate competence trust on topics they care about.
From one to many
The trust anchor now issues identity proofs to other people. As each new person joins, they receive the exact same rights — they earn FairShares at the same rate, and can allocate trust on anyone's competence. The bootstrap phase runs under the same laws as the mature network: equal income, equal burn, equal governance weight. There is no early-adopter advantage — the economics guarantee that initial participants converge to the same standing as everyone else.
Once initial verifications have matured (~30 days), something important happens: the community itself starts deciding who gets to verify new humans. Each person's attestation power is proportional to the trust others place in them:
The square root ensures no single person dominates — even massively trusted individuals can only wield a moderate share of attestation power.
Trust that matures
In Atlas, trust allocations don't take effect instantly — and they don't last forever. Every allocation carries its own publication timestamp and matures individually after a fixed maturation period (30 days by default, configurable via Legislation).
Three independent parameters shape the rhythm: maturation period (how long an allocation waits before counting — the anti-Sybil defense), snapshot interval (how often the recognized graph is re-measured — daily by default), and revision frequency (a community-set rate limit on how often a user may publish new allocations).
Each user holds 100 trust allocations as a continuous budget. Re-allocating publishes a new envelope that supersedes the previous one once it matures. Authority appears gradually as individual signals mature — never in a synchronized spike, never with a stale calendar lag.
Once identity verification is running and every verified participant receives their weekly allowance, the real economy emerges. People want to publish, read, and discover quality content — and FairShares make all of that work.
Publishing Costs FairShares
Spam BarrierEvery piece of content published on Atlas spends FairShares. The spent credits are permanently removed from circulation — not paid to anyone, just consumed. It's a proof of commitment, like postage on a letter.
The default burn rate is simple:
1 FairShare = 100 characters of content metadata by default. The importance multiplier lets authors voluntarily burn extra to signal that their content matters — making it rise above the noise.
Anything below the minimum burn threshold is automatically filtered as noise. High-burn content naturally earns more attention from the network.
Shelters Store Your Data
Long-Term StorageWhen you want to publish content, you need somewhere to store it. That's what Shelters are — primarily your own local disk space, with optional remote redundancy for availability when you're offline.
Each Shelter publicly displays its pricing using a transparent two-part model:
You pick the Shelter that fits your needs. Shelters compete with each other on price-to-quality ratio and reliability. Bad Shelters lose customers. Good ones grow. No lock-in, no hidden fees — just an open market for your data.
Registries Help You Find Content
Discovery LayerYou've published your content to a Shelter. But how do other people find it? That's where Registries come in — they index and serve content so users can discover what matters. Registries are run by app builders — people who need certain data types for their applications. They choose shared infrastructure over proprietary silos, accepting the burden of neutral data sharing in exchange for access to the network's data.
When your app discovers a Registry, it automatically buys query access so it can search and read through that index. Registries earn FairShares by attracting users, and the way they do that is simple:
Index the content with the strongest FairShares burn signal, because that is what the network treats as most valuable.
Readers and apps route more often to Registries that keep up with the content people are signaling for.
The highest-totalBurn Registries become the protocol reference point for governance-sensitive decisions.
For governance decisions, the highest-totalBurn Registries are the protocol-recognized authorities. But for everyday browsing, your client-side algorithm can prefer a Registry based on region, latency, or topic preference — even one with lower totalBurn. You stay in control.
Reading Has a Price Too
Sustainable AccessOn traditional platforms, reading is "free" — paid for by your attention and your data. In Atlas, reading is honest: when your app discovers a Registry, it automatically buys query access using FairShares.
This creates a sustainable loop: readers fund Registries, Registries index the best content, and content creators are incentivized to publish quality work that earns attention. No ads, no data harvesting — just a clean economic relationship between producers and consumers.
An economy that runs itself
Starts from a trust anchor. Community governs who joins through competence-based attestation power.
Every verified human receives the same weekly FairShares allowance. Equal starting point, no exceptions.
Spending FairShares to publish filters out spam and lets quality content rise to the top.
Shelters compete on storage. Registries compete on discovery. Users pick what works. No lock-in.
