Coinranking
AI coins
1,965 coins #22 Page 11| | Coins | | | ||
|---|---|---|---|---|---|
| | |||||
| The coins below are ranked lower due to missing data. Learn more | |||||
| | 501 |  LUME LUME | $ | +4.24%  | |
| | 502 |  whim.bet by Virtuals WHIM | $ | -3.42%  | |
| | 503 |  opensvm.com SVMAI | $ | -1.37%  | |
| | 504 |  BAD AI BADAI | $ | +1.42%  | |
| | 505 |  Virtuals Intern by Virtuals VIRTERN | $ | -21.90%  | |
| | 506 |  Guanciale by Virtuals GUAN | $ | -4.00%  | |
| | 507 |  Market Stalker STLKR | $ | +6.20%  | |
| | 508 |  Kai the Scribe SCRIBE | $ | +13.72%  | |
| | 509 |  Zen AI ZENAI | $ | +4.36%  | |
| | 510 |  Agentwood AWS | $ | +9.06%  | |
| | 511 |  Infinite Trading Protocol ITP | $ | +1.87%  | |
| | 512 |  Brain Sensor Technology Token BSTT | $ | +0.01%  | |
| | 513 |  QuantZilla QZilla | $ | -0.17%  | |
| | 514 |  AlphaKEK.AI AIKEK | $ | -1.00%  | |
| | 515 |  AlphaExchangeAI AEA | $ | +0.14%  | |
| | 516 |  WARP WARP | $ | +4.42%  | |
| | 517 |  aigmx by Virtuals AIGMX | $ | -3.06%  | |
| | 518 |  AIFlow Token AFT | $ | -12.09%  | |
| | 519 |  x402 x402 | $ | -7.98%  | |
| | 520 |  Byte BYTE | $ | +18.35%  | |
| | 521 |  Rekt Burgundy by Virtuals MXNBC | $ | +7.90%  | |
| | 522 |  AID AID | $ | -0.47%  | |
| | 523 |  SuperGrok SUPERGROK | $ | -1.22%  | |
| | 524 |  Chad Grammatical Model Launch PEMDAS | $ | +0.22%  | |
| | 525 |  AITS AITS | $ | -0.65%  | |
| | 526 |  ELIXIR AI ELXAI | $ | -0.85%  | |
| | 527 |  Silentis SILENTIS | $ | -0.86%  | |
| | 528 |  BapBook BapBook | $ | +2.20%  | |
| | 529 |  pTokens EFX EFX | $ | +0.38%  | |
| | 530 |  Radx_AI RADX | $ | -0.43%  | |
| | 531 |  Schrodinger SCHRDNGR | $ | -4.55%  | |
| | 532 |  Robobook ROBOBOOK | $ | +0.57%  | |
| | 533 |  ATHENE NETWORK ATN | $ | -3.45%  | |
| | 534 |  Chat AI AI | $ | +1.16%  | |
| | 535 |  Multiple Network Token MTP | $ | +0.88%  | |
| | 536 |  KeyAI KEYAI | $ | +15.90%  | |
| | 537 |  Shot Token SHOT | $ | +42.51%  | |
| | 538 |  CLIMB TOKEN FINANCE CLIMB | $ | -0.40%  | |
| | 539 |  Grok Ai GROK AI | $ | -76.86%  | |
| | 540 |  ChainGuard CGT | $ | +0.00%  | |
| | 541 |  Cortex CTXC | $ | --%  | |
| | 542 |  Bottos BTO | $ | --%  | |
| | 543 |  Live Stars LIVE | $ | --%  | |
| | 544 |  cindicator CND | $ | --%  | |
| | 545 |  Vectorspace AI VXV | $ | --%  | |
| | 546 |  ARCONA ARCONA | $ | --%  | |
| | 547 |  gny GNY | $ | --%  | |
| | 548 |  Connectome CNTM | $ | --%  | |
| | 549 |  SorachanCoin SORA | $ | --%  | |
| | 550 |  Artificial Intelligence AI | $ | --%  | |
Trending AI coins
| Coins | Live Price | 24h | |
|---|---|---|---|
| |  Internet Computer ICP | $ | +1.86%  |
| |  Bittensor TAO | $ | +1.26%  |
| |  siren SIREN | $ | +12.23%  |
| |  Render Token RENDER | $ | +0.86%  |
| |  Artificial Superintelligence Alliance FET | $ | -2.00%  |
Top Gainers
| Coins | | | |||
|---|---|---|---|---|---|
| |  PlatON LAT | $ | +125.04%  | ||
| |  Matchain MAT | $ | +17.48%  | ||
| |  Allora ALLO | $ | +16.69%  | ||
| |  LinqAI LNQ | $ | +15.19%  | ||
| |  dKargo DKA | $ | +13.10%  | ||
| All Gainers | |||||
Market Cap
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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.