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Swarm Network

Swarm Network — 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).

Swarm Network — an AI/Agents | Infra project on Sui that describes itself as a multi‑agent framework (agents → clusters → swarms) for decentralized verification/fact‑checking and a “truth/oracle layer” (with ZK proofs). Token: TRUTH (native on Sui).

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: a multi‑agent platform where licensed AI agents and human verifiers perform verification tasks (claims/fact‑checking), and the results are used as a “truth/oracle layer” (claimed: with onchain recording).
  • Who it’s for: social media users (quick fact‑checking of a specific thread), agent license operators, developers and dApps that need data verification/interpretation.
  • Why onchain/token: onchain is needed for ownership of Agent Licenses and for the distribution of rewards/staking; the TRUTH token is used for network participation, staking/anti‑spam and governance (per the tokenomics).
  • What you can actually touch (Tier‑1): RollUp News on “X”: tag @Rollup_News and add the word rollup under a thread (guide in the blog).

How it works (very briefly)

  1. The user does: initiates a check on “X” via RollUp News (tag @Rollup_News + the word rollup) or participates as an Agent License operator.
  2. The system does: AI agents collect and analyze the context, human verifiers add nuance/context and confirm the result; (claimed) the result is recorded as a verifiable outcome.
  3. The user gets: a verification conclusion/summary and (for operators) rewards for work/participation.
  4. Where the blockchain is: ownership of Agent Licenses and the TRUTH token — on Sui; (claimed) verified outcomes are recorded onchain.
  5. Token role: TRUTH — participation/stake/anti‑spam, governance/feedback and rewards (per the tokenomics).

Quick links: AI thesis fit

Project passport

Field Value
Project name Swarm Network
Also known as (aliases) Swarm; Truth Protocol; TRUTH
Logo (logo) ../assets/81_swarm-network-ai_logo.jpg
Token symbol (ticker) TRUTH
Category AI/Agents | Infra
Primary chain (chain) Sui
Type non-EVM
Network status mainnet
Consensus (consensus) PoS (Sui)
Launch date (launch_date) 2025
Project status (status) active
Token (standard) native
Token contract 0x0a48f85a3905cfa49a652bdb074d9e9fabad27892d54afaa5c9e0adeb7ac3cdf::swarm_network_token::SWARM_NETWORK_TOKEN
Token model (token_type) utility (access + coordination + governance)
Max supply 10 000 000 000
Issuance fixed supply (10B); vesting + emissions schedule (per the tokenomics)
Tokenomics (tokenomics, brief) allocations: 30% Agent Licenses; 10% DAO Treasury; 15% Community Reserves
Governance DAO
Admins/keys —
Audit yes
Bug bounty —
Team (team) Swarm Network
Funding (investors/funding) $3M seed round (ZeroStage, Y2Z Ventures + private investors)
AI component (ai_component) no-code AI agent clusters for verification
Use‑case (use_case) verifiable fact-checking → on-chain triggers
DecAI Fit — AI thesis fit 6/6 — high alignment with the Decentralized AI thesis
DecAI Fit component summary ai_score 3 / onchain_score 3 / token_score 3 / evidence_score 3
Last verified 2026-02-11

General project overview

In its documentation, Swarm Network describes the product as a multi‑agent collaboration framework: users create AI agents without code, combine them into clusters and then into swarms to perform tasks. One of the claimed “flagship” cases is Rollup_News (a dApp on X), where the “TRUTH Swarm” performs real‑time fact‑checking/verification.

In terms of positioning, the project combines:

  • AI layer: a no‑code Agent Builder, clustering of up to 100 agents from a single prompt, collaborative work of agent roles.
  • Onchain layer: agent licenses (Agent Licenses) are issued on Sui; onchain accounting of rights/rewards/staking is assumed.
  • “Truth/Oracle layer”: the website describes the layer as a privacy‑preserving oracle where “arbitrary/private data” is turned into “verifiable on-chain logic” (with ZK‑proofs and “secure agent judges”).

Features/modules

  • Agents: autonomous agents created via the Agent Builder (no‑code) and configured with prompts.
  • Clusters: groups of agents (up to 100) for collaborative work toward a common goal.
  • Swarms: networks of clusters; the docs claim that swarms can be “tokenized” (Swarm assets) for governance/staking/participation rights.
  • Agent Licenses (Sui): the “operational key” for running/earning with an agent (daily rewards), as well as for future customization/training (Agent BUIDL) and leasing.

Typical scenarios

  • Scenario 1 (operator): buys an Agent License → runs/manages an agent for verification tasks → receives daily rewards.
  • Scenario 2 (dApp/developer): integrates the “truth/oracle layer” → uses verified conclusions as triggers for onchain logic (including for real‑world event triggers).
  • Scenario 3 (ecosystem): creates a swarm/market layer for a niche (for example, prediction/info markets) and uses the token mechanics for coordination and incentives.

Getting started (wallet/network)

  • What you need: a Sui wallet (since Agent Licenses are described as “issued on SUI NETWORK”).
  • Network/chain: Sui mainnet.
  • Fees: Sui network fees for operations with the licenses/token.

Architecture/tech (non‑AI)

  • Components: onchain assets/contracts on Sui (Agent Licenses and the TRUTH token), offchain agent orchestration (builder/clustering), dApp integrations for consuming “truth” conclusions.
  • Participant roles: license operators (perform tasks), users/community (feedback/participation), protocol/DAO treasury, integrators.
  • Where logic runs: onchain — ownership of licenses and (per the tokenomics) staking/participation/rewards; offchain — execution of agent tasks and data processing; the cryptographic part (ZK) is claimed as part of the “oracle layer”.
  • Dependencies: Sui infrastructure (RPC/wallets/explorers), data sources for verification tasks, possible ZK infrastructure (the roadmap includes a ZK test‑net).

Token/economics (expanded, no forecasts)

  • Token: in the tokenomics, the token is named Network Token ($TRUTH) with a total supply of 10,000,000,000.
  • Token utility (Tier‑1): participation in network activity/coordination, access to network services and analytics, participation in community feedback/governance; staking is claimed as a sign of “credibility” and an anti‑spam measure.
  • Incentives (Tier‑1): “Licensed AI Agents” receive tokens for performing verification tasks; Agent Licenses are the key to daily rewards.
  • Distribution/vesting (Tier‑1): the allocation table includes, for example: 30% Agent Licenses, 10% DAO Treasury, 15% Community Reserves, 10% Team, 8% Seed, etc.; vesting/cliff is specified for a number of categories.
  • Treasury: the DAO Treasury is present as an allocation (10%); the roadmap claims a Swarm Community Fund (DAO‑managed).

Governance

  • Who makes decisions: DAO (the tokenomics claims a governance mechanism and “participation rights”).
  • How protocol parameters change: via the governance mechanics/community process (the details of the process were not recorded per Tier‑1).
  • Where: —.
  • Keys/multisig: —.

Security and incidents

  • Audits: a smart contract audit (QuillAudits) is listed in links_*.
  • Bug bounty: — (no Tier‑1 program was found per Tier‑1).
  • Incidents: — (no public postmortems/incidents were found per Tier‑1).
  • Threat model: risks of the offchain part (quality/honesty of agents), tokenomics/staking risks (sybil/spam), smart contract risks of the licenses/token, as well as the correctness of the ZK layer (if applicable).

Project status and timeline

  • Current status: mainnet (Sui); the documentation and website are active.
  • Key milestones: 2025 — a public roadmap with Agent Licenses / Rollup News v2 / Agent Staking / ZK test‑net.
  • Roadmap: published in GitBook (links_*).

Ecosystem/integrations

  • Integrations/cases: GitBook mentions Rollup_News (a dApp on X) as the flagship app.
  • Partners: —.
  • Where it’s actually used: verification tasks (Agent Licenses) and the claimed oracle/truth layer (website/documentation).

AI component of the project

  • What is real AI here? The docs describe a system of AI agents assembled into clusters/swarms (no‑code via a prompt interface) that perform verification/fact‑checking tasks.
  • What is truly onchain? Agent Licenses are issued on Sui; the tokenomics describes onchain participation/staking/reward mechanics (rewarding licensed agents).
  • Why is a token needed? TRUTH is the base economic layer: network participation, staking as an anti‑spam/credibility mechanism, governance/feedback and rewards.
  • Red flags (based on the information found): strong positioning of “oracle layer + ZK” without a detailed technical description of the ZK setup/threats in the docs; quality/accuracy metrics are not disclosed.

DecAI Fit component summary

  • DecAI Fit: 6/6 — high alignment with the Decentralized AI thesis
Component Level Score
AI reality high 3
Onchain necessity high 3
Token necessity high 3
Evidence Tier‑1 present 3
Details

AI reality

AI_0 — AI intent (Tier‑1 roadmap) (1/0)

  • AI_0 (decision): 0
  • Claim (one line): AI agents and clusters are described as already existing components (not only intent).
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/swarm
  • Why sufficient / why not (one line): the introduction describes agents/clusters/swarms as the current architecture.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): AI agents perform verification/fact‑checking tasks and operate as part of clusters/swarms; the flagship app is Rollup_News with fact‑checking.
  • Evidence: Tier‑1 — https://swarmnetwork.ai/blog/truth-protocol-ai-agent-layer-and-zk-proofs-a-new-era-for-truth ; https://gitbook.swarmnetwork.ai/how-it-works
  • Why sufficient / why not (one line): the docs record the purpose of the agents and the Rollup_News case; the website specifies “AI agents detect and verify events…”.
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 1
  • Claim (one line): there is a reproducible “RollUp News in Action” scenario on X: tag @Rollup_News + add “rollup” under a thread.
  • Evidence: Tier‑1 — https://swarmnetwork.ai/blog/truth-protocol-ai-agent-layer-and-zk-proofs-a-new-era-for-truth
  • Why sufficient / why not (one line): the article has a “Getting Started With RollUp News” section with concrete steps.
  • Conflict note (if any): —

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —
  • Context (version/date/how measured): —
  • Evidence: Tier‑1 — — (no public quality/accuracy metrics were found per Tier‑1)
  • Why sufficient / why not (one line): without numbers and a methodology, metrics are not counted.
  • Conflict note (if any): —

AI_4 — tech description/architecture/versions (1/0)

  • AI_4 (decision): 1
  • Claim (one line): the architecture of the “agents → clusters → swarms” levels and their role in collaboration/verification is described.
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/how-it-works ; https://swarmnetwork.ai/blog/truth-protocol-ai-agent-layer-and-zk-proofs-a-new-era-for-truth
  • Why sufficient / why not (one line): the docs explicitly describe the basic entities and the economic role of the licenses.
  • Conflict note (if any): —

Onchain necessity

OC_1 — contracts/addresses/chain (1/0)

  • OC_1 (decision): 1
  • Chain: Sui
  • Addresses/identifiers: coin type 0x0a48f85a3905cfa49a652bdb074d9e9fabad27892d54afaa5c9e0adeb7ac3cdf::swarm_network_token::SWARM_NETWORK_TOKEN
  • Evidence: Tier‑1 — https://suivision.xyz/coin/0x0a48f85a3905cfa49a652bdb074d9e9fabad27892d54afaa5c9e0adeb7ac3cdf::swarm_network_token::SWARM_NETWORK_TOKEN ; https://gitbook.swarmnetwork.ai/tokenomics
  • Why sufficient / why not (one line): the token address is listed in links_* and confirmed by the explorer; the tokenomics records the $TRUTH ticker.
  • Conflict note (if any): —

OC_2 — onchain beyond just a token (1/0)

  • OC_2 (decision): 1
  • What useful logic is onchain: Agent Licenses are issued on Sui and grant the right to “operate and earn” (daily rewards) for verification tasks; the tokenomics describes staking/participation.
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/agent-licenses ; https://gitbook.swarmnetwork.ai/tokenomics
  • Why sufficient / why not (one line): Tier‑1 explicitly describes onchain licenses and rewards/staking as part of the network economy.
  • Conflict note (if any): —

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 1
  • “Replace the blockchain” test: without onchain, the model of ownership/transfer of Agent Licenses and the distribution of rewards/staking (credibility/anti‑spam) as part of the network economy breaks down.
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/agent-licenses ; https://gitbook.swarmnetwork.ai/tokenomics
  • Why sufficient / why not (one line): the documents directly link participation/rewards/staking to the onchain layer.
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): the project has a network token, $TRUTH (total supply 10B), and it is used in the economy/coordination.
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/tokenomics
  • Why sufficient / why not (one line): the tokenomics records the Network Token ($TRUTH).
  • 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): $TRUTH is described as the unit of account for participation in/access to network services and activity (platform participation).
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/tokenomics
  • Why sufficient / why not (one line): the tokenomics states that the token is “required for network participation and ecosystem engagement”.
  • Conflict note (if any): —

TK_2 — incentives/collateral/penalties (1/0)

  • TK_2 (decision): 1
  • Claim (one line): staking $TRUTH is required for participation in a number of activities as an anti‑spam/credibility mechanism; licensed agents receive tokens for verification tasks.
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/tokenomics ; https://gitbook.swarmnetwork.ai/agent-licenses
  • Why sufficient / why not (one line): the tokenomics describes stake requirements and rewards; Agent Licenses — daily rewards.
  • Conflict note (if any): —

TK_3 — governance (1/0)

  • TK_3 (decision): 1
  • Claim (one line): $TRUTH provides governance/participation rights and participation in community feedback for network improvements.
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/tokenomics
  • Why sufficient / why not (one line): the tokenomics explicitly describes a governance mechanism and participation rights.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): the token is the central mechanism of coordination/participation/staking and reward distribution in the network’s economic model.
  • Evidence: Tier‑1 — https://gitbook.swarmnetwork.ai/tokenomics
  • Why sufficient / why not (one line): the tokenomics describes a “foundational economic layer” for governance/value exchange and the stake mechanics.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://swarmnetwork.ai/blog/truth-protocol-ai-agent-layer-and-zk-proofs-a-new-era-for-truth What exactly AI agents + humans do; and the Getting Started scenario for RollUp News (tag @Rollup_News + “rollup”) as a demo/guide.
Tier‑1 https://swarmnetwork.ai/blog/rollupnews-aristotle The Rollup News v2 artifact: multi-step reasoning, image/video analysis, autonomous agents, a mention of “On-chain Verification (Walrus)”.
Tier‑1 https://gitbook.swarmnetwork.ai/how-it-works The “Agent Clusters → Swarms → middleware” workflow and the link to dApps (Rollup_News, Truth Swarm).
Tier‑1 https://gitbook.swarmnetwork.ai/swarm The “agents → clusters → swarms” architecture and the positioning of Swarm Network as a foundation for dApps.
Tier‑1 https://gitbook.swarmnetwork.ai/agent-licenses Agent Licenses (on Sui) as the operational key: daily rewards, customization/training (roadmap) and leasing.
Tier‑1 https://gitbook.swarmnetwork.ai/tokenomics Network Token ($TRUTH): total supply 10B, allocations/vesting, utility (participation/staking/governance) and rewards to agents.
Tier‑1 https://gitbook.swarmnetwork.ai/roadmap The roadmap (Agent License Launch, Agent Staking, ZK test‑net, etc.) dated by quarters of 2025.
Tier‑1 https://swarmnetwork.ai/blog/swarm-network-secures-3m-seed-round The funding fact: $3M seed round (ZeroStage, Y2Z Ventures + private investors).
Tier‑1 https://swarmnetwork.ai/ Positioning as a privacy‑preserving oracle layer; the roles of ZK proofs and AI agents for real‑world triggers/data interpretation.
Tier‑1 https://suivision.xyz/coin/0x0a48f85a3905cfa49a652bdb074d9e9fabad27892d54afaa5c9e0adeb7ac3cdf::swarm_network_token::SWARM_NETWORK_TOKEN The token’s onchain identifier in the Sui explorer.
Tier‑1 https://github.com/Quillhash/QuillAudit_Reports/blob/master/Swarm%20Smart%20Contract%20Audit%20Report%20-%20QuillAudits.pdf Public smart contract audit (link from links_*).

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