Coinranking
AI coins
1,642 coins #27 Page 10| | Coins | | | ||
|---|---|---|---|---|---|
| | |||||
| The coins below are ranked lower due to missing data. Learn more | |||||
| | 451 |  listen-rs LISTEN | $ | +0.53%  | |
| | 452 |  Onchain AI Token OCAI | $ | +0.42%  | |
| | 453 |  AlphaKEK.AI AIKEK | $ | +1.82%  | |
| | 454 |  MEME AI MEMEAI | $ | +0.04%  | |
| | 455 |  NOVA NOVA | $ | +113.80%  | |
| | 456 |  Tradescoop by Virtuals SCOOP | $ | +10.73%  | |
| | 457 |  Guanciale by Virtuals GUAN | $ | +0.00%  | |
| | 458 |  ZODs ZODS | $ | -21.01%  | |
| | 459 |  REX REX | $ | +1.14%  | |
| | 460 |  Bitcoin AI BTC | $ | +1.40%  | |
| | 461 |  Do Your Own Research DYOR | $ | -0.82%  | |
| | 462 |  Global DePIN Chain DEEPSEEK | $ | +0.77%  | |
| | 463 |  Deer Token DEER | $ | +0.67%  | |
| | 464 |  Ugly Dog $UGLYDOG | $ | -0.61%  | |
| | 465 |  MAI MAI | $ | +0.88%  | |
| | 466 |  h011yw00d by Virtuals HOLLY | $ | +1.82%  | |
| | 467 |  Metaverse HQ HQ | $ | +0.00%  | |
| | 468 |  Mansa AI MUSA | $ | -4.41%  | |
| | 469 |  SuperGrok SUPERGROK | $ | -20.14%  | |
| | 470 |  x402 x402 | $ | -4.14%  | |
| | 471 |  SentAI SENTAI | $ | +1.66%  | |
| | 472 |  Brain Sensor Technology Token BSTT | $ | -0.00%  | |
| | 473 |  ChatAI Token CHATAI | $ | -3.72%  | |
| | 474 |  Lumera LUME | $ | -7.52%  | |
| | 475 |  AIvalanche DeFAI Agents AVAXAI | $ | +4.90%  | |
| | 476 |  NeurochainAI NCN | $ | +2.80%  | |
| | 477 |  rudi RUDI | $ | +6.08%  | |
| | 478 |  aigmx by Virtuals AIGMX | $ | -9.72%  | |
| | 479 |  IQ6900 IQ | $ | +18.13%  | |
| | 480 |  Z△L△ △I ZALA | $ | +6.82%  | |
| | 481 |  Aurk AI AURK | $ | +8.91%  | |
| | 482 |  Agentwood AWS | $ | -0.66%  | |
| | 483 |  Infinite Trading Protocol ITP | $ | +0.75%  | |
| | 484 |  0xGen XGN | $ | -1.09%  | |
| | 485 |  AlphaExchangeAI AEA | $ | -0.85%  | |
| | 486 |  WARP WARP | $ | -3.40%  | |
| | 487 |  x402 Based x402 | $ | +6.81%  | |
| | 488 |  BabyAGI Coin BABYAGI | $ | +11.11%  | |
| | 489 |  ai69x AI69X | $ | -0.39%  | |
| | 490 |  Crime Lizard CLZD | $ | +3.28%  | |
| | 491 |  Grindery X GX | $ | +5.24%  | |
| | 492 |  DogCatsTrumpAIpepe DOCTRAP | $ | +0.01%  | |
| | 493 |  Chad Grammatical Model Launch PEMDAS | $ | -1.21%  | |
| | 494 |  Deep Entry AI DEEP | $ | -19.77%  | |
| | 495 |  AITS AITS | $ | +1.16%  | |
| | 496 |  NYLA NYLA | $ | +9.58%  | |
| | 497 |  Robobook ROBOBOOK | $ | +3.44%  | |
| | 498 |  Virtuals Index VTF | $ | -5.02%  | |
| | 499 |  Radx_AI RADX | $ | -1.13%  | |
| | 500 |  LLM LLM | $ | -2.09%  | |
Trending AI coins
| Coins | Price | 24h | |
|---|---|---|---|
| |  Injective Protocol INJ | $ | +0.38%  |
| |  Internet Computer ICP | $ | +0.51%  |
| |  Artificial Superintelligence Alliance FET | $ | -0.55%  |
| |  NEAR Protocol NEAR | $ | +0.30%  |
| |  Chainlink LINK | $ | +1.48%  |
Top Gainers
| Coins | | | |||
|---|---|---|---|---|---|
| |  Oraichain Token ORAI | $ | +57.82%  | ||
| |  Kindred Labs KIN | $ | +41.31%  | ||
| |  siren SIREN | $ | +31.72%  | ||
| |  Shoggoth SHOGGOTH | $ | +21.74%  | ||
| |  ChainBounty BOUNTY | $ | +14.32%  | ||
| All Gainers | |||||
What is an AI token?
AI tokens are cryptocurrencies that embed artificial-intelligence models, data sets, or services into their core logic.
They power decentralized marketplaces for models, generative-media engines, predictive agents, and on-chain data analytics while using the token for payments, governance, or access rights.
ChatGPT’s late-2022 breakout—and Microsoft’s $10 B OpenAI round—sparked a 75 %-plus rally in early AI tokens, pushing the sector’s market cap past $1.6 B in February 2023.
Quick Facts
- Purpose: Pay for AI inference, training data, agent services; govern AI protocols.
- Utility: Buy GPU compute, query generative models, vote on model upgrades, stake for data quality.
- Chains/Platforms: Ethereum, BSC, Cardano, Fetch.ai native, Ocean Protocol, SingularityNET.
- Pricing: Market-driven; hype cycles tied to AI breakthrough headlines.
- Supply: Usually capped; inflation via mining/mentoring rewards (FET, AGIX).
Top AI Tokens (Live Examples)
| Token | Ticker | AI Focus | 2024 Utility Highlights |
|---|---|---|---|
| SingularityNET | AGIX | Decentralized AI marketplace | Buy/sell models, staking for API calls. |
| Fetch.ai | FET | Autonomous economic agents | Deploy IoT bots, pay for data feeds. |
| Ocean Protocol | OCEAN | Data marketplace | Monetise datasets for model training. |
| Numerai | NMR | AI hedge-fund signals | Stake predictions, earn for accuracy. |
| Alethea AI | ALI | Generative AI & NFTs | Create CharacterGPT NPCs, upgrade NFTs. |
| Cortex | CTXC | On-chain AI inference | Upload AI models to smart contracts. |
How It Works
- Protocol mints token → used as medium of exchange for AI services.
- Developers/Providers stake tokens to list models or datasets.
- Users pay per query (text, image, prediction) in the native token.
- Decentralised GPU or data miners earn tokens for supplying resources.
- Governance votes decide which models or data sources are whitelisted.
Benefits
- Cheaper inference – permissionless competition drives down API costs.
- Censorship resistance – no single entity can de-platform a model.
- Data privacy – federated learning + zk-proofs keep datasets local.
- Tokenised incentives – high-quality data and models are rewarded automatically.
- Composable AI – smart contracts can call AI outputs on-chain (e.g., insurance pricing).
Risks & Limitations
- Compute fraud – malicious nodes may return dummy results; needs reputation or slashing.
- Data quality – poisoned datasets can degrade model accuracy.
- Regulatory grey zone – AI output may be deemed advice or securities signal.
- Token volatility – price swings make enterprise budgeting hard.
- Scalability – on-chain inference is still 10-100× slower than centralised clouds.
- Hype cycles – valuations often detach from actual AI usage metrics.
Final Thoughts
AI tokens sit at the intersection of two exponential trends—large-language-model breakthroughs and open DeFi rails.
They promise democratised access to cutting-edge intelligence, but today most revenue is still speculative.
Trade the narrative, stake for real services, and verify on-chain model usage before aping.