FABRK
FABRK — a reference card for a crypto project: what the product does and how verifiable the project’s key claims are; also — alignment with the Decentralized AI thesis (DecAI Fit).
FABRK — a protocol/platform for decentralized “human networks” (social network/social graph, user‑owned data) with a token on Ethereum.
Disclaimer
Important: this page is a reference overview of the project. Within DecAIHub, we separately record a verification based on open sources within the AI thesis (what is real AI/onchain/why a token, and which sources this is based on).
This is not financial advice and not a recommendation to buy/sell/hold any asset. We do not assess price, returns, or entry/exit timing.
Conclusions are based on publicly available materials found as of the verification date. The absence of confirmation does not imply the absence of the technology.
TL;DR (for readers who are not into AI)
- What it is: an open source, blockchain‑powered protocol for social products, where users own their data and receive tokens for online behavior/content (per the whitepaper).
- Who it’s for: users of social products, content creators, developers of third-party social applications, delegate nodes.
- Why onchain/token: onchain is needed for accounting/microtransactions and protocol rules; the FAB token is described as a means of micropayments and incentives (including node rewards).
How it works (very briefly)
- The user creates/consumes content: the protocol tracks views/interactions.
- Micropayments are distributed automatically: viewers “pay”, creators “earn” (per the description of the mechanics).
- Developers build social products on top of the protocol: access to the social graph/data with users’ consent.
- Where the blockchain is: the protocol’s ledger and consensus; smart contracts/accounting.
- Token role: incentives for users/nodes and the microtransaction economy.
Quick links: AI thesis fit
Project passport
| Field | Value |
|---|---|
| Project name | FABRK |
| Also known as (aliases) | FABRK Foundation |
| Logo (logo) | — |
| Token symbol (ticker) | FAB |
| Category | Infra |
| Primary chain (chain) | Ethereum |
| Type | EVM |
| Network status | mainnet |
| Consensus (consensus) | PoS (Ethereum) |
| Launch date (launch_date) | — |
| Project status (status) | active |
| Token (standard) | ERC-20 |
| Token contract | 0x12683dc9eec95a5f742d40206e73319e6b9d8a91 |
| Token model (token_type) | utility (payments + staking + rewards) |
| Max supply | — |
| Issuance | — |
| Tokenomics (tokenomics, brief) | The whitepaper describes “viewers pay / creators earn” micropayments and node rewards (delegate nodes) through FAB issuance. |
| Governance | — |
| Admins/keys | — |
| Audit | — |
| Bug bounty | — |
| Team (team) | — |
| Funding (investors/funding) | — |
| AI component (ai_component) | Federated learning / AI applicability |
| Use‑case (use_case) | user-owned social data + microtransactions |
| DecAI Fit — AI thesis fit | 3/6 — medium alignment with the Decentralized AI thesis |
| DecAI Fit component summary | ai_score 1 / onchain_score 2 / token_score 2 / evidence_score 3 |
| Last verified | 2026-02-11 |
Links (links_*)
| Type | Link |
|---|---|
| Website | https://www.fabrk.io/ |
| Docs | https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf |
| GitHub | — |
| Releases / Changelog | — |
| Whitepaper | https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf |
| Roadmap | — |
| Security advisories | — |
| Explorer | https://etherscan.io/token/0x12683dc9eec95a5f742d40206e73319e6b9d8a91 |
| X | https://twitter.com/FABRKNETWORK |
| Discord | — |
| Telegram | https://t.me/FABRKOfficial |
| Medium | https://medium.com/@fabrknetwork |
| Audit report(s) | — |
| Bug bounty | — |
| CoinGecko (profile, reference) | — |
| CoinMarketCap (profile, reference) | https://coinmarketcap.com/currencies/fabrk/ |
General project overview
Per the Tier‑1 whitepaper, FABRK describes itself as an open source, blockchain‑powered decentralized social networking platform / “people protocol”, where users own data and can receive tokens for creating/consuming content, engagement and “digital labor”. The whitepaper also describes the goal of opening the social graph and data (with users’ consent) to third-party developers so they can compete by creating “true social products”.
The whitepaper separately discusses AI/ML topics in the context of privacy and learning from data (readiness for federated learning is mentioned), but this is presented as applicability/a direction, rather than a proven “AI component of the product”.
Features/modules
- User‑owned data: the protocol as a “data brokerage”, where data remains with users (per the description).
- Microtransactions: automatic micropayments between viewers and creators.
- DPoV consensus/governance: Delegated Proof of Value is described (within the whitepaper).
- Developer ecosystem: developer access to social data (with privacy/checks taken into account).
Typical scenarios
- Scenario 1: a user consumes content → a micropayment occurs; the user can “break even” through rewards (per the whitepaper).
- Scenario 2: a content creator receives rewards for views/engagement (per the whitepaper).
- Scenario 3: a developer creates a product (feed/search/match‑making) on top of the protocol, using data according to permissions.
Getting started (wallet/network)
- What you need: an Ethereum wallet for operations with the token and access to FABRK products/interfaces (per the website/whitepaper).
- Network/chain: Ethereum (ERC‑20).
- Fees: Ethereum network fees for onchain operations.
Architecture/tech (non‑AI)
- Components: protocol/ledger, delegate nodes, the FAB token, offchain applications/content (per the description in the whitepaper).
- Participant roles: users, content creators, product developers, delegate nodes.
- Where logic runs: accounting/micropayments/consensus — onchain; content and applications — offchain (per the description).
Token/economics (expanded, no forecasts)
- Token utility: micropayments and rewards for content/behavior; delegate node rewards through issuance (per the whitepaper).
- Incentive mechanisms: staking + the “historical contribution” metric participate in the distribution of voting responsibility in DPoV (per the whitepaper).
Governance
- Who makes decisions: not established per Tier‑1.
- How protocol parameters change: not established per Tier‑1.
- Where decisions are discussed/made: not established per Tier‑1.
- Keys/multisig: not established per Tier‑1.
Security and incidents
- Audits: not found in Tier‑1 sources.
- Bug bounty: not found in Tier‑1 sources.
- Incidents: not found in Tier‑1 sources.
- Threat model: not established per Tier‑1.
Project status and timeline
- Current status: —.
- Key releases/milestones: not established per Tier‑1.
- Roadmap: not found in Tier‑1 sources.
Ecosystem/integrations
- Integrations: not established per Tier‑1.
- Partners: not established per Tier‑1.
- Where it’s actually used: not established per Tier‑1.
AI component of the project
- What is real AI here? In the Tier‑1 whitepaper, AI/ML is discussed as context (the problem of centralized ML on data and the applicability of federated learning), but no Tier‑1 confirmation of a working AI component of the product was found.
- What is truly onchain? the FAB token on Ethereum and the protocol/consensus/micropayments described in the whitepaper.
- Why is a token needed? for micropayments and incentives (viewers/creators/nodes) per the whitepaper.
- Red flags (based on the information found): AI mentions serve as context/a direction; this should not be interpreted as proof of “AI in the product” without specific artifacts/demos/metrics.
DecAI Fit component summary
- DecAI Fit: 3/6 — medium alignment with the Decentralized AI thesis
| Component | Level | Score |
|---|---|---|
| AI reality | low | 1 |
| Onchain necessity | medium | 2 |
| Token necessity | medium | 2 |
| Evidence | Tier‑1 present | 3 |
Details
AI reality
AI_0 — AI intent (Tier‑1 roadmap) (1/0)
- AI_0 (decision): 1
- Claim (one line): The whitepaper discusses AI/ML (including federated learning) as an important use case/direction of the protocol.
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): This records AI intent/applicability, but does not prove a working AI component.
- Conflict note (if any): —
AI_1 — what the AI does (1/0)
- AI_1 (decision): 0
- Claim (one line): A specific AI feature as a component of the product is not established per Tier‑1.
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): Mentions of AI/ML serve as context/applicability.
- Conflict note (if any): —
AI_2 — demos/examples (1/0)
- AI_2 (decision): 0
- Claim (one line): No AI demo was found per Tier‑1.
- Evidence: Tier‑1 — https://www.fabrk.io/
- Why sufficient / why not (one line): AI_2=1 requires a verifiable demo surface of the AI part.
- Conflict note (if any): —
AI_3 — metrics/quality (1/0)
- AI_3 (decision): 0
- Metrics: —
- Context (version/date/how measured): —
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): No reproducible set of AI metrics was found per Tier‑1.
- Conflict note (if any): —
AI_4 — tech description/architecture/versions (1/0)
- AI_4 (decision): 0
- Claim (one line): A tech description of the AI model/versions is not established per Tier‑1.
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): The whitepaper describes the protocol/consensus/economy, but not AI model versions.
- Conflict note (if any): —
Onchain necessity
OC_1 — contracts/addresses/chain (1/0)
- OC_1 (decision): 1
- Chain: Ethereum
- Addresses/identifiers: ERC‑20: 0x12683dc9eec95a5f742d40206e73319e6b9d8a91
- Evidence: Tier‑1 — https://etherscan.io/token/0x12683dc9eec95a5f742d40206e73319e6b9d8a91
- Why sufficient / why not (one line): The onchain fact of the token contract is confirmed by the explorer.
- Conflict note (if any): —
OC_2 — onchain beyond just a token (1/0)
- OC_2 (decision): 1
- What useful logic is onchain: the social graph/data and micropayment protocol; DPoV consensus; accounting/payouts in the token (per the description).
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): The whitepaper describes the protocol as a blockchain‑powered social platform, rather than just a token.
- Conflict note (if any): —
OC_3 — onchain is critical (1/0)
- OC_3 (decision): 0
- “Replace the blockchain” test: an explicit “replacement test” was not found per Tier‑1.
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): OC_3=1 requires an explicit argument for onchain criticality (rather than “it is possible without it”).
- Conflict note (if any): —
Token necessity
TK_0 — no token (1/0)
- TK_0 (decision): 0
- Claim (one line): The project has a token, FAB.
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf ; https://etherscan.io/token/0x12683dc9eec95a5f742d40206e73319e6b9d8a91
- Why sufficient / why not (one line): The whitepaper describes the FAB token; the contract is observable in the explorer.
- Conflict note (if any): —
TK_1..TK_4 (1/0)
TK_1 — payment for the service (1/0)
- TK_1 (decision): 1
- Claim (one line): The whitepaper describes a micropayment economy for content (“viewers pay / creators earn”).
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): This describes a pay‑flow as part of the protocol.
- Conflict note (if any): —
TK_2 — incentives/collateral/penalties (1/0)
- TK_2 (decision): 1
- Claim (one line): Delegate Nodes can receive newly emitted FAB tokens; voting responsibility depends on staking and the contribution metric.
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): The whitepaper describes incentives and a staking component.
- Conflict note (if any): —
TK_3 — governance (1/0)
- TK_3 (decision): 0
- Claim (one line): Token‑governance mechanics are not established per Tier‑1 (there is staking/voting share, but without explicit “governance voting with the token”).
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): TK_3=1 requires an explicit governance process tied to the token.
- Conflict note (if any): —
TK_4 — token is replaceable (1/0)
- TK_4 (decision): 0
- Claim (one line): The replaceability of the token is not established per Tier‑1.
- Evidence: Tier‑1 — https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf
- Why sufficient / why not (one line): An explicit argument about replaceability/irreplaceability is required.
- Conflict note (if any): —
Evidence (table)
| Tier | Source | What it proves |
|---|---|---|
| Tier‑1 | https://www.fabrk.io/FABRK_Whitepaper_v1.0.pdf | The purpose of the protocol, the FAB token, micropayments and node incentives; mention of AI/ML as an area of applicability (federated learning). |
| Tier‑1 | https://www.fabrk.io/ | Tier‑1 website: FABRK Foundation positioning and project context. |
| Tier‑1 | https://etherscan.io/token/0x12683dc9eec95a5f742d40206e73319e6b9d8a91 | Onchain fact of the FAB ERC‑20 token contract. |
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