Coinranking
AI coins
1,819 coins #24 Page 10| | Coins | | | ||
|---|---|---|---|---|---|
| | |||||
| The coins below are ranked lower due to missing data. Learn more | |||||
| | 451 |  Ugly Dog $UGLYDOG | $ | +1.98%  | |
| | 452 |  AiDove AiDove | $ | +15.59%  | |
| | 453 |  CZ-9000 CZ9K | $ | -1.26%  | |
| | 454 |  AGIXBT by Virtuals AGIXBT | $ | +1.80%  | |
| | 455 |  Buttholes BHOLE | $ | +5.83%  | |
| | 456 |  TellrBot TELLR | $ | +12.42%  | |
| | 457 |  SPICE SPICE | $ | -4.71%  | |
| | 458 |  Virtuals Intern by Virtuals VIRTERN | $ | +15.39%  | |
| | 459 |  Deer Token DEER | $ | -26.68%  | |
| | 460 |  Timeworx.io TIX | $ | +0.00%  | |
| | 461 |  REX REX | $ | -6.61%  | |
| | 462 |  Metaverse HQ HQ | $ | -2.20%  | |
| | 463 |  Yuku DAO YUKU | $ | -6.21%  | |
| | 464 |  AlphaKEK.AI AIKEK | $ | -3.03%  | |
| | 465 |  BaseHoundBot by Virtuals $HOUND | $ | +3.79%  | |
| | 466 |  whim.bet by Virtuals WHIM | $ | +2.39%  | |
| | 467 |  Guanciale by Virtuals GUAN | $ | -3.03%  | |
| | 468 |  NeurochainAI NCN | $ | +3.03%  | |
| | 469 |  Agentwood AWS | $ | +17.77%  | |
| | 470 |  NYLA NYLA | $ | -18.33%  | |
| | 471 |  VISION ai by Virtuals VISION | $ | +8.07%  | |
| | 472 |  Infinite Trading Protocol ITP | $ | -1.88%  | |
| | 473 |  Maneki AI by Virtuals MANEKI | $ | +7.84%  | |
| | 474 |  aigmx by Virtuals AIGMX | $ | +2.45%  | |
| | 475 |  Brain Sensor Technology Token BSTT | $ | -0.01%  | |
| | 476 |  QuantZilla QZilla | $ | -2.99%  | |
| | 477 |  Animus ANIMUS | $ | +4.76%  | |
| | 478 |  x402 x402 | $ | -9.22%  | |
| | 479 |  AlphaExchangeAI AEA | $ | +2.91%  | |
| | 480 |  WARP WARP | $ | -1.80%  | |
| | 481 |  OpenAI Dog SANJI | $ | +26.64%  | |
| | 482 |  BOTCOIN BOTCOIN | $ | -1.59%  | |
| | 483 |  AITS AITS | $ | -0.58%  | |
| | 484 |  Chad Grammatical Model Launch PEMDAS | $ | -1.29%  | |
| | 485 |  DogCatsTrumpAIpepe DOCTRAP | $ | -0.01%  | |
| | 486 |  Raiin RAIIN | $ | -4.80%  | |
| | 487 |  BapBook BapBook | $ | +1.18%  | |
| | 488 |  ENI Minds ENM | $ | -75.76%  | |
| | 489 |  Silentis SILENTIS | $ | +2.57%  | |
| | 490 |  Schrodinger SCHRDNGR | $ | +1.52%  | |
| | 491 |  Zentience ZENT | $ | -10.99%  | |
| | 492 |  pTokens EFX EFX | $ | +0.22%  | |
| | 493 |  Radx_AI RADX | $ | +0.66%  | |
| | 494 |  FOFO FOFO | $ | +0.00%  | |
| | 495 |  CLIMB TOKEN FINANCE CLIMB | $ | +0.82%  | |
| | 496 |  Bottos BTO | $ | --%  | |
| | 497 |  Live Stars LIVE | $ | --%  | |
| | 498 |  cindicator CND | $ | --%  | |
| | 499 |  Vectorspace AI VXV | $ | --%  | |
| | 500 |  ARCONA ARCONA | $ | --%  | |
Trending AI coins
| Coins | Live Price | 24h | |
|---|---|---|---|
| |  Render Token RENDER | $ | -2.59%  |
| |  NEAR Protocol NEAR | $ | +10.02%  |
| |  Chainlink LINK | $ | -3.18%  |
| |  Zircuit ZRC | $ | -100.00%  |
| |  Oasis Network ROSE | $ | -1.50%  |
Top Gainers
| Coins | | | |||
|---|---|---|---|---|---|
| |  Audiera Beat | $ | +54.11%  | ||
| |  MAIGA Token MAIGA | $ | +38.06%  | ||
| |  Tagger TAG | $ | +23.53%  | ||
| |  INFINIT IN | $ | +23.06%  | ||
| |  GUA GUA | $ | +22.71%  | ||
| 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.