Coinranking
AI coins
1,633 coins #27 Page 8| | Coins | | | ||
|---|---|---|---|---|---|
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| The coins below are ranked lower due to missing data. Learn more | |||||
| | 351 |  Cyberlife LIFE | $ | -2.88%  | |
| | 352 |  Dither DITH | $ | +1.82%  | |
| | 353 |  Orbofi OBI | $ | -1.74%  | |
| | 354 |  YOUTOPIA YTP | $ | -5.93%  | |
| | 355 |  CARV CARV | $ | +4.14%  | |
| | 356 |  FishWar FISHW | $ | +0.00%  | |
| | 357 |  GPT Plus GPTPLUS | $ | +7.79%  | |
| | 358 |  HapticAI HAI | $ | -13.09%  | |
| | 359 |  WAYE.ai WAYE | $ | -14.14%  | |
| | 360 |  ASTRO ASTRO | $ | +0.28%  | |
| | 361 |  Edge Matrix Computing EMC | $ | -1.63%  | |
| | 362 |  Degenerate SQuiD by Virtuals SQDGN | $ | -3.05%  | |
| | 363 |  LondonCoin LDXG | $ | -50.00%  | |
| | 364 |  Flagship by Virtuals FYI | $ | -2.79%  | |
| | 365 |  Openfabric Al OFN | $ | +1.44%  | |
| | 366 |  Nitro NITRO | $ | +1.95%  | |
| | 367 |  Token Metrics AI TMAI | $ | -6.24%  | |
| | 368 |  CLANKER Robot AI Slur CLANKER | $ | -6.17%  | |
| | 369 |  Luminous LUM | $ | +5.60%  | |
| | 370 |  Multiple Network Token MTP | $ | +4.46%  | |
| | 371 |  Balance AI BAI | $ | -1.50%  | |
| | 372 |  Zoof Wallet by Virtuals ZOOF | $ | -1.51%  | |
| | 373 |  XO Protocol XOXO | $ | -3.14%  | |
| | 374 |  SkaiToken SKAI | $ | -1.50%  | |
| | 375 |  Miss AI MSAI | $ | +1.05%  | |
| | 376 |  VAIX VAIX | $ | +15.86%  | |
| | 377 |  MasterBOT BOT | $ | +0.95%  | |
| | 378 |  AIOR TOKEN AIOR | $ | +0.00%  | |
| | 379 |  AthenaX9 AiX9 | $ | -1.17%  | |
| | 380 |  Harambe AI Token HARAMBEAI | $ | -8.72%  | |
| | 381 |  BUZ BUZ | $ | -0.93%  | |
| | 382 |  Genius Token & NFT Collections GNUS | $ | +6.48%  | |
| | 383 |  Slingshot SLING | $ | -0.71%  | |
| | 384 |  BrightPool Token BRI | $ | -0.02%  | |
| | 385 |  SUAI SUAI | $ | -2.64%  | |
| | 386 |  OpenClaw OPENCLAW | $ | +39.15%  | |
| | 387 |  FOFO FOFO | $ | -5.52%  | |
| | 388 |  CryptoGPT Token GPT | $ | +13.87%  | |
| | 389 |  AIFlow Token AFT | $ | +5.55%  | |
| | 390 |  Capminal by Virtuals CAP | $ | -8.14%  | |
| | 391 |  Tell A Tale TAT | $ | -1.73%  | |
| | 392 |  DeepFakeAI FAKEAI | $ | +4.91%  | |
| | 393 |  ZARA AI ZARA | $ | +7.66%  | |
| | 394 |  ChainGPU CGPU | $ | +6.92%  | |
| | 395 |  enqAI ENQAI | $ | -1.42%  | |
| | 396 |  Kudai KUDAI | $ | +9.39%  | |
| | 397 |  Zero Ontology System SOLFUNMEME | $ | +17.82%  | |
| | 398 |  BOZZCoin BOZZ | $ | +0.01%  | |
| | 399 |  Arbus by Virtuals ARBUS | $ | -1.44%  | |
| | 400 |  quant turned memecoin trader trying to make a buck HPYH | $ | -4.66%  | |
Trending AI coins
| Coins | Price | 24h | |
|---|---|---|---|
| |  Virtuals Protocol VIRTUAL | $ | -0.49%  |
| |  Grass GRASS | $ | +2.56%  |
| |  TARS AI TAI | $ | +4.59%  |
| |  Aethir ATH | $ | +0.96%  |
| |  Render Token RENDER | $ | -0.78%  |
Top gainers
| Coins | | | |||
|---|---|---|---|---|---|
| |  Rivalz Token RIZ | $ | +40.86%  | ||
| |  BankrCoin BNKR | $ | +40.28%  | ||
| |  Audiera Beat | $ | +24.58%  | ||
| |  VANA VANA | $ | +20.54%  | ||
| |  Allora ALLO | $ | +13.80%  | ||
| 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.