#aiagents
aiagents
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Ever wondered what happens when AI agents get their own economy with actual rules?
Quack AI (Q) just exploded over 250% in 24 hours, pushing its market cap near $1 billion. But behind the hype, it’s building something crucial: a governance layer for the "Agent Economy." Think of it as the legal system for AI bots that trade, transact, and interact on-chain. Their x402 standard lets agents pay and sign transactions gaslessly across different blockchains, while a policy engine keeps everything compliant and transparent.
Essentially, they are laying the plumbing so autonomous AI can operate securely without human micromanagement. With nearly $300M in daily volume, traders are clearly betting big on this infrastructure narrative.
As AI agents become the next wave of crypto users, do you think specialized governance layers like Quack AI become essential infrastructure, or will general-purpose L1s absorb this functionality?
#AIAgents #DeFAI
Ever wondered what happens when AI agents get their own economy with actual rules?
Quack AI (Q) just exploded over 250% in 24 hours, pushing its market cap near $1 billion. But behind the hype, it’s building something crucial: a governance layer for the "Agent Economy." Think of it as the legal system for AI bots that trade, transact, and interact on-chain. Their x402 standard lets agents pay and sign transactions gaslessly across different blockchains, while a policy engine keeps everything compliant and transparent.
Essentially, they are laying the plumbing so autonomous AI can operate securely without human micromanagement. With nearly $300M in daily volume, traders are clearly betting big on this infrastructure narrative.
As AI agents become the next wave of crypto users, do you think specialized governance layers like Quack AI become essential infrastructure, or will general-purpose L1s absorb this functionality?
#AIAgents #DeFAI
Quack AI (Q) just exploded over 250% in 24 hours, pushing its market cap near $1 billion. But behind the hype, it’s building something crucial: a governance layer for the "Agent Economy." Think of it as the legal system for AI bots that trade, transact, and interact on-chain. Their x402 standard lets agents pay and sign transactions gaslessly across different blockchains, while a policy engine keeps everything compliant and transparent.
Essentially, they are laying the plumbing so autonomous AI can operate securely without human micromanagement. With nearly $300M in daily volume, traders are clearly betting big on this infrastructure narrative.
As AI agents become the next wave of crypto users, do you think specialized governance layers like Quack AI become essential infrastructure, or will general-purpose L1s absorb this functionality?
#AIAgents #DeFAI
186
A neutral RSI, positive funding and moderate open interest describe short-term market conditions. They do not determine the long-term outlook for an AI-agent platform.
MyShell's product activity and $SHELL's market performance are separate measures. Longer-term analysis should consider sustained usage, creator activity, token supply and broader market conditions rather than relying on one day's indicators.
#AIAgents #CryptoFundamentals #MarketPerspective CryptoEducation
A neutral RSI, positive funding and moderate open interest describe short-term market conditions. They do not determine the long-term outlook for an AI-agent platform.
MyShell's product activity and $SHELL 's market performance are separate measures. Longer-term analysis should consider sustained usage, creator activity, token supply and broader market conditions rather than relying on one day's indicators.
#AIAgents #CryptoFundamentals #MarketPerspective CryptoEducation
MyShell's product activity and $SHELL 's market performance are separate measures. Longer-term analysis should consider sustained usage, creator activity, token supply and broader market conditions rather than relying on one day's indicators.
#AIAgents #CryptoFundamentals #MarketPerspective CryptoEducation
4
MyShell's latest showcase posts identified in the report, around October 21–22, featured creative agents such as double-exposure portraits and AI tarot-style experiences.
These examples show how the platform presents shareable, user-facing AI creations. Product activity and token price do not always move together in the short term. Tracking sustained usage and creator participation offers a broader view than daily price alone.
#AIAgents #CreatorEconomy #MyShellAI ProductUpdates
MyShell's latest showcase posts identified in the report, around October 21–22, featured creative agents such as double-exposure portraits and AI tarot-style experiences.
These examples show how the platform presents shareable, user-facing AI creations. Product activity and token price do not always move together in the short term. Tracking sustained usage and creator participation offers a broader view than daily price alone.
#AIAgents #CreatorEconomy #MyShellAI ProductUpdates
These examples show how the platform presents shareable, user-facing AI creations. Product activity and token price do not always move together in the short term. Tracking sustained usage and creator participation offers a broader view than daily price alone.
#AIAgents #CreatorEconomy #MyShellAI ProductUpdates
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SCDO is a small Australian team building AI agent infrastructure in public: SCDO Agent Ledger for identity and records, SCDO x402 for per-call USDC payments on Base.
Every claim we make here can be checked on-chain or on the ledger.
scdo.com.au
#BuildInPublic #AIAgents #x402
SCDO is a small Australian team building AI agent infrastructure in public: SCDO Agent Ledger for identity and records, SCDO x402 for per-call USDC payments on Base.
Every claim we make here can be checked on-chain or on the ledger.
scdo.com.au
#BuildInPublic #AIAgents #x402
Every claim we make here can be checked on-chain or on the ledger.
scdo.com.au
#BuildInPublic #AIAgents #x402
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Base first, BNB Chain tested, Solana in progress. More chains are being researched.
Whatever the chain, SCDO x402 keeps the same rules for AI agent payments: stablecoins, per-call pricing, immutable splits, no custody by SCDO.
scdo.com.au
#MultiChain #x402 #AIAgents #Stablecoins
Base first, BNB Chain tested, Solana in progress. More chains are being researched.
Whatever the chain, SCDO x402 keeps the same rules for AI agent payments: stablecoins, per-call pricing, immutable splits, no custody by SCDO.
scdo.com.au
#MultiChain #x402 #AIAgents #Stablecoins
Whatever the chain, SCDO x402 keeps the same rules for AI agent payments: stablecoins, per-call pricing, immutable splits, no custody by SCDO.
scdo.com.au
#MultiChain #x402 #AIAgents #Stablecoins
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Bullish
🤖 Kite ($KITE ): The Missing Economic Layer for AI Agents?
AI agents are becoming capable of researching, coding, analyzing data and coordinating complex workflows. But intelligence alone does not create an economy. Agents also need a way to prove who they are, operate within clear permissions, pay for services and receive payments without requiring human approval at every step.
This is the problem Kite is designed to address.
🔹 Identity and control: Kite Agent Passport is designed to give agents verifiable identities and enforce user-defined spending limits and permissions.
🔹 Payments between machines: Kite Chain provides infrastructure for fast, low-cost transactions, including stablecoin-based payments. This could make pay-per-request AI services and machine-to-machine commerce more practical.
🔹 A new business model: Developers could build services that AI agents discover and pay for automatically, creating markets where software is both the customer and the service provider.
However, adoption will depend on more than technology. Security, interoperability, real demand and sustainable economics will determine whether autonomous agents become meaningful economic participants.
The bigger question isn't just how intelligent AI will become. It's whether we can build a trustworthy financial system that lets AI act responsibly.
Could the agent economy become one of blockchain's most important real-world use cases?
#KiteBBW #AIAgents
🤖 Kite ($KITE ): The Missing Economic Layer for AI Agents?
AI agents are becoming capable of researching, coding, analyzing data and coordinating complex workflows. But intelligence alone does not create an economy. Agents also need a way to prove who they are, operate within clear permissions, pay for services and receive payments without requiring human approval at every step.
This is the problem Kite is designed to address.
🔹 Identity and control: Kite Agent Passport is designed to give agents verifiable identities and enforce user-defined spending limits and permissions.
🔹 Payments between machines: Kite Chain provides infrastructure for fast, low-cost transactions, including stablecoin-based payments. This could make pay-per-request AI services and machine-to-machine commerce more practical.
🔹 A new business model: Developers could build services that AI agents discover and pay for automatically, creating markets where software is both the customer and the service provider.
However, adoption will depend on more than technology. Security, interoperability, real demand and sustainable economics will determine whether autonomous agents become meaningful economic participants.
The bigger question isn't just how intelligent AI will become. It's whether we can build a trustworthy financial system that lets AI act responsibly.
Could the agent economy become one of blockchain's most important real-world use cases?
#KiteBBW #AIAgents
AI agents are becoming capable of researching, coding, analyzing data and coordinating complex workflows. But intelligence alone does not create an economy. Agents also need a way to prove who they are, operate within clear permissions, pay for services and receive payments without requiring human approval at every step.
This is the problem Kite is designed to address.
🔹 Identity and control: Kite Agent Passport is designed to give agents verifiable identities and enforce user-defined spending limits and permissions.
🔹 Payments between machines: Kite Chain provides infrastructure for fast, low-cost transactions, including stablecoin-based payments. This could make pay-per-request AI services and machine-to-machine commerce more practical.
🔹 A new business model: Developers could build services that AI agents discover and pay for automatically, creating markets where software is both the customer and the service provider.
However, adoption will depend on more than technology. Security, interoperability, real demand and sustainable economics will determine whether autonomous agents become meaningful economic participants.
The bigger question isn't just how intelligent AI will become. It's whether we can build a trustworthy financial system that lets AI act responsibly.
Could the agent economy become one of blockchain's most important real-world use cases?
#KiteBBW #AIAgents
1
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Bullish
Kite Is Building the Trust Layer for Autonomous AI Agents
Kite is joining OpenServ AI’s SERV Hackathon 02 as a track partner alongside dphnAI and reppo, bringing powerful capabilities to the growing agentic economy.
With Kite Agent Passport, developers can explore three essential building blocks: verifiable agent identity, user-defined permissions and spending limits, and agentic payments.
The real opportunity is bigger than automation. It is about enabling AI agents to act, transact, and operate within clear boundaries while giving users greater control.
As autonomous AI continues to evolve, secure identity and payment infrastructure could become fundamental to the next generation of digital services.
More details are coming next week. The next phase of AI innovation is worth watching.
What do you think will matter most for AI agents: identity, security, or autonomous payments?
#Kite #OpenServAI #AIAgents #Web3 @GoKiteAI $KITE
{spot}(KITEUSDT)
Kite Is Building the Trust Layer for Autonomous AI Agents
Kite is joining OpenServ AI’s SERV Hackathon 02 as a track partner alongside dphnAI and reppo, bringing powerful capabilities to the growing agentic economy.
With Kite Agent Passport, developers can explore three essential building blocks: verifiable agent identity, user-defined permissions and spending limits, and agentic payments.
The real opportunity is bigger than automation. It is about enabling AI agents to act, transact, and operate within clear boundaries while giving users greater control.
As autonomous AI continues to evolve, secure identity and payment infrastructure could become fundamental to the next generation of digital services.
More details are coming next week. The next phase of AI innovation is worth watching.
What do you think will matter most for AI agents: identity, security, or autonomous payments?
#Kite #OpenServAI #AIAgents #Web3 @KITE AI 中文 $KITE
Kite is joining OpenServ AI’s SERV Hackathon 02 as a track partner alongside dphnAI and reppo, bringing powerful capabilities to the growing agentic economy.
With Kite Agent Passport, developers can explore three essential building blocks: verifiable agent identity, user-defined permissions and spending limits, and agentic payments.
The real opportunity is bigger than automation. It is about enabling AI agents to act, transact, and operate within clear boundaries while giving users greater control.
As autonomous AI continues to evolve, secure identity and payment infrastructure could become fundamental to the next generation of digital services.
More details are coming next week. The next phase of AI innovation is worth watching.
What do you think will matter most for AI agents: identity, security, or autonomous payments?
#Kite #OpenServAI #AIAgents #Web3 @KITE AI 中文 $KITE
2
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I minted 20+ "free" NFTs on BNB Chain this month. Here's what they're actually worth.
The AI agent NFT wave on $BNB Chain is everywhere right now: free mints, agent passports, proof-of-agent badges. I went all in to see if free really pays.
What I learned:
• Most free mints trade for less than 0.001 BNB, and many have zero buyers at all
• "Free" isn't free: gas adds up fast when you mint 20 collections
• Only a handful hold a real floor, usually the ones with an active game or utility behind them
• Offers often come in far below the floor, so don't panic-sell to the first bid
My takeaway: treat free mints like lottery tickets, not income. Pick projects with something to do after minting, and keep enough BNB for gas so you can actually sell when it counts.
What's the best free mint you've gotten on BNB Chain so far? Drop it below$BNB #NFT #Write2Earn! #AIAgents
I minted 20+ "free" NFTs on BNB Chain this month. Here's what they're actually worth.
The AI agent NFT wave on $BNB Chain is everywhere right now: free mints, agent passports, proof-of-agent badges. I went all in to see if free really pays.
What I learned:
• Most free mints trade for less than 0.001 BNB, and many have zero buyers at all
• "Free" isn't free: gas adds up fast when you mint 20 collections
• Only a handful hold a real floor, usually the ones with an active game or utility behind them
• Offers often come in far below the floor, so don't panic-sell to the first bid
My takeaway: treat free mints like lottery tickets, not income. Pick projects with something to do after minting, and keep enough BNB for gas so you can actually sell when it counts.
What's the best free mint you've gotten on BNB Chain so far? Drop it below$BNB #NFT #Write2Earn! #AIAgents
The AI agent NFT wave on $BNB Chain is everywhere right now: free mints, agent passports, proof-of-agent badges. I went all in to see if free really pays.
What I learned:
• Most free mints trade for less than 0.001 BNB, and many have zero buyers at all
• "Free" isn't free: gas adds up fast when you mint 20 collections
• Only a handful hold a real floor, usually the ones with an active game or utility behind them
• Offers often come in far below the floor, so don't panic-sell to the first bid
My takeaway: treat free mints like lottery tickets, not income. Pick projects with something to do after minting, and keep enough BNB for gas so you can actually sell when it counts.
What's the best free mint you've gotten on BNB Chain so far? Drop it below$BNB #NFT #Write2Earn! #AIAgents
87
moneycanbuy.fun and the $YOLO launched via IMD’s AI Swarm
moneycanbuy.fun is a #Web3 platform launched by #IMD , a swarm of 2,000 autonomous #AIagents , that allows AI agents to hire humans to perform real-world tasks. Users can post paid dares on #Ethereum by setting conditions, choosing a proof type, locking a reward in $ETH , $USDC, $IMD, or $YOLO, and setting a deadline. Participants complete the tasks and submit a public proof link along with a bond of 0.5 IMD plus 3% of the reward.
Submissions can be disputed within 24 hours, with disputes reviewed by Identity MD NFT holders and appeals handled by the IMD swarm. Once approved, the smart contract pays the participant the reward minus a 10% fee, reduced to 6% for users staking $YOLO, the platform’s native token paired with $IMD on Ethereum.
👉 x.com/moneycanbuy_fun
moneycanbuy.fun and the $YOLO launched via IMD’s AI Swarm
moneycanbuy.fun is a #Web3 platform launched by #IMD , a swarm of 2,000 autonomous #AIagents , that allows AI agents to hire humans to perform real-world tasks. Users can post paid dares on #Ethereum by setting conditions, choosing a proof type, locking a reward in $ETH , $USDC, $IMD, or $YOLO, and setting a deadline. Participants complete the tasks and submit a public proof link along with a bond of 0.5 IMD plus 3% of the reward.
Submissions can be disputed within 24 hours, with disputes reviewed by Identity MD NFT holders and appeals handled by the IMD swarm. Once approved, the smart contract pays the participant the reward minus a 10% fee, reduced to 6% for users staking $YOLO, the platform’s native token paired with $IMD on Ethereum.
👉 x.com/moneycanbuy_fun
moneycanbuy.fun is a #Web3 platform launched by #IMD , a swarm of 2,000 autonomous #AIagents , that allows AI agents to hire humans to perform real-world tasks. Users can post paid dares on #Ethereum by setting conditions, choosing a proof type, locking a reward in $ETH , $USDC, $IMD, or $YOLO, and setting a deadline. Participants complete the tasks and submit a public proof link along with a bond of 0.5 IMD plus 3% of the reward.
Submissions can be disputed within 24 hours, with disputes reviewed by Identity MD NFT holders and appeals handled by the IMD swarm. Once approved, the smart contract pays the participant the reward minus a 10% fee, reduced to 6% for users staking $YOLO, the platform’s native token paired with $IMD on Ethereum.
👉 x.com/moneycanbuy_fun
2
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Delegating repetitive on-chain workflows like LP compound management and gas-optimal token swaps is where agentic crypto truly shines.
Excited to be an early pioneer in the on-chain agent era with @PtahTrade.
Agent #23375
#ProofOfAgent #BNBChain #AIAgents #BinanceSquare
Delegating repetitive on-chain workflows like LP compound management and gas-optimal token swaps is where agentic crypto truly shines.
Excited to be an early pioneer in the on-chain agent era with @PtahTrade.
Agent #23375
#ProofOfAgent #BNBChain #AIAgents #BinanceSquare
Excited to be an early pioneer in the on-chain agent era with @PtahTrade.
Agent #23375
#ProofOfAgent #BNBChain #AIAgents #BinanceSquare
85
A heartbeat says an AI agent is alive. A signed task record says it did the job.
SCDO Agent Ledger keeps both, and links paid tasks to their SCDO x402 settlement in USDC on Base.
scdo.com.au
#AIAgents #AgentLedger #DevTools
A heartbeat says an AI agent is alive. A signed task record says it did the job.
SCDO Agent Ledger keeps both, and links paid tasks to their SCDO x402 settlement in USDC on Base.
scdo.com.au
#AIAgents #AgentLedger #DevTools
SCDO Agent Ledger keeps both, and links paid tasks to their SCDO x402 settlement in USDC on Base.
scdo.com.au
#AIAgents #AgentLedger #DevTools
28
$SHELL | Platform Adoption and Token Price Are Different Metrics
MyShell has positioned itself around the creation, sharing and use of AI agents. The research report also referenced historical platform figures of more than 200,000 agents and 5 million users. Those figures need a dated primary source before being presented as current metrics.
The broader question is worth discussing: why might an AI platform gain users while its token price remains weak?
Product adoption and token-market demand measure different things. User numbers can indicate activity across a platform, while token price reflects trading decisions in the market. These two measures may influence each other, but they are not interchangeable.
For example, user growth does not automatically translate into token purchases. The relationship depends on how the token is used, whether users need to hold or spend it, how incentives are structured, how supply changes over time and whether market participants expect future demand.
The reverse can also happen. A token may rise during a broad crypto rally even when there is little new information about product adoption.
A more complete assessment therefore asks separate questions: Is platform usage growing? Are users returning and engaging? Is there a clear mechanism connecting that activity to token demand? How does circulating supply evolve? Is market liquidity sufficient to support sustained trading interest?
These questions do not guarantee a price prediction. They help distinguish product progress from speculative market behavior.
#AIAgents #CryptoFundamentals #TokenUtility CreatorEconomy MyShellAI
$SHELL | Platform Adoption and Token Price Are Different Metrics
MyShell has positioned itself around the creation, sharing and use of AI agents. The research report also referenced historical platform figures of more than 200,000 agents and 5 million users. Those figures need a dated primary source before being presented as current metrics.
The broader question is worth discussing: why might an AI platform gain users while its token price remains weak?
Product adoption and token-market demand measure different things. User numbers can indicate activity across a platform, while token price reflects trading decisions in the market. These two measures may influence each other, but they are not interchangeable.
For example, user growth does not automatically translate into token purchases. The relationship depends on how the token is used, whether users need to hold or spend it, how incentives are structured, how supply changes over time and whether market participants expect future demand.
The reverse can also happen. A token may rise during a broad crypto rally even when there is little new information about product adoption.
A more complete assessment therefore asks separate questions: Is platform usage growing? Are users returning and engaging? Is there a clear mechanism connecting that activity to token demand? How does circulating supply evolve? Is market liquidity sufficient to support sustained trading interest?
These questions do not guarantee a price prediction. They help distinguish product progress from speculative market behavior.
#AIAgents #CryptoFundamentals #TokenUtility CreatorEconomy MyShellAI
MyShell has positioned itself around the creation, sharing and use of AI agents. The research report also referenced historical platform figures of more than 200,000 agents and 5 million users. Those figures need a dated primary source before being presented as current metrics.
The broader question is worth discussing: why might an AI platform gain users while its token price remains weak?
Product adoption and token-market demand measure different things. User numbers can indicate activity across a platform, while token price reflects trading decisions in the market. These two measures may influence each other, but they are not interchangeable.
For example, user growth does not automatically translate into token purchases. The relationship depends on how the token is used, whether users need to hold or spend it, how incentives are structured, how supply changes over time and whether market participants expect future demand.
The reverse can also happen. A token may rise during a broad crypto rally even when there is little new information about product adoption.
A more complete assessment therefore asks separate questions: Is platform usage growing? Are users returning and engaging? Is there a clear mechanism connecting that activity to token demand? How does circulating supply evolve? Is market liquidity sufficient to support sustained trading interest?
These questions do not guarantee a price prediction. They help distinguish product progress from speculative market behavior.
#AIAgents #CryptoFundamentals #TokenUtility CreatorEconomy MyShellAI
22
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Article
Should You Invest in FET? Strong Technology, Unproven Value Capture.Fetch.ai ($FET ) is building an ecosystem designed to power an autonomous AI-agent economy, where AI agents can discover services, communicate, make decisions, and complete tasks on behalf of users.
Its ecosystem includes Agentverse, ASI, SingularityNET, ASI, and Fetch Business. According to the figures reviewed, Agentverse has approximately 2.94 million registered agents and 257 million cumulative messages. However, registered agents do not necessarily represent active users or meaningful economic activity.
The biggest opportunity is AI adoption. If autonomous agents become widely used, demand for AI services, computing infrastructure, and agent-to-agent commerce could grow significantly. FET already has utility in areas such as AI-service payments, staking, and cloud-service benefits.
However, product success does not guarantee token appreciation. FET faces inflation from staking emissions, while existing burns remain insufficient to offset new supply. The economic value generated by Fetch's products must translate into sustained token demand for investors to benefit.
Governance and execution risks also remain following Ocean Protocol's departure from the ASI Alliance in 2025.
My investment view: FET offers an interesting, high-risk opportunity for investors who believe in autonomous AI agents. Its technology thesis is more convincing than its current token value-capture thesis.
The key metric to watch is not simply registered agents, but growing active usage, paid transactions, FET-denominated activity, and sustainable token demand.
@Fetch_ai #AI #AIAgents
Should You Invest in FET? Strong Technology, Unproven Value Capture.
Fetch.ai ($FET ) is building an ecosystem designed to power an autonomous AI-agent economy, where AI agents can discover services, communicate, make decisions, and complete tasks on behalf of users.
Its ecosystem includes Agentverse, ASI, SingularityNET, ASI, and Fetch Business. According to the figures reviewed, Agentverse has approximately 2.94 million registered agents and 257 million cumulative messages. However, registered agents do not necessarily represent active users or meaningful economic activity.
The biggest opportunity is AI adoption. If autonomous agents become widely used, demand for AI services, computing infrastructure, and agent-to-agent commerce could grow significantly. FET already has utility in areas such as AI-service payments, staking, and cloud-service benefits.
However, product success does not guarantee token appreciation. FET faces inflation from staking emissions, while existing burns remain insufficient to offset new supply. The economic value generated by Fetch's products must translate into sustained token demand for investors to benefit.
Governance and execution risks also remain following Ocean Protocol's departure from the ASI Alliance in 2025.
My investment view: FET offers an interesting, high-risk opportunity for investors who believe in autonomous AI agents. Its technology thesis is more convincing than its current token value-capture thesis.
The key metric to watch is not simply registered agents, but growing active usage, paid transactions, FET-denominated activity, and sustainable token demand.
@Fetch.ai #AI #AIAgents
Its ecosystem includes Agentverse, ASI, SingularityNET, ASI, and Fetch Business. According to the figures reviewed, Agentverse has approximately 2.94 million registered agents and 257 million cumulative messages. However, registered agents do not necessarily represent active users or meaningful economic activity.
The biggest opportunity is AI adoption. If autonomous agents become widely used, demand for AI services, computing infrastructure, and agent-to-agent commerce could grow significantly. FET already has utility in areas such as AI-service payments, staking, and cloud-service benefits.
However, product success does not guarantee token appreciation. FET faces inflation from staking emissions, while existing burns remain insufficient to offset new supply. The economic value generated by Fetch's products must translate into sustained token demand for investors to benefit.
Governance and execution risks also remain following Ocean Protocol's departure from the ASI Alliance in 2025.
My investment view: FET offers an interesting, high-risk opportunity for investors who believe in autonomous AI agents. Its technology thesis is more convincing than its current token value-capture thesis.
The key metric to watch is not simply registered agents, but growing active usage, paid transactions, FET-denominated activity, and sustainable token demand.
@Fetch.ai #AI #AIAgents
齊天大聖孫悟空:
他給出的APP 說真的 現階段的功能
會程式的…
只能說這根本垃圾產品
已經好幾年了
還在幫他吹噓的
我能認為 要嘛被套牢的
要嘛你是項目方成員之一
出來喊讓人接手的
隨便一個AI 目前都能取代他
根本用不到FET
3
1
1
1.5k
The biggest obstacle to the AI agent economy isn't intelligence - it's trust.
Allowing AI agents to execute tasks autonomously is powerful, but giving them unrestricted wallet access or credit card details creates serious security risks. What if a prompt injection triggers unintended actions? What if an agent drains an entire treasury?
This is where Kite aims to change the game with its Agent Passport system.
Instead of choosing between zero autonomy and total exposure, Kite introduces a Human-in-the-Loop / Human-in-Control framework:
1. Scoped Sessions: Approve actions using passkeys within predefined boundaries.
2. Strict Guardrails: Set hard limits on total budgets, per-transaction amounts, session expiration, and whitelisted destinations.
3. Fail-Safe Execution: Transactions that violate these parameters are rejected at the protocol level.
By keeping private keys out of the agent's memory and enforcing programmable boundaries, Kite aims to address this security dilemma. Humans retain control while agents gain the operational freedom they need to power the Web3 machine economy.
That's how we move from risky experiments toward scalable, secure AI infrastructure.
#KiteBBW $KITE #AIAgents #Web3Security #AgentEconomy
The biggest obstacle to the AI agent economy isn't intelligence - it's trust.
Allowing AI agents to execute tasks autonomously is powerful, but giving them unrestricted wallet access or credit card details creates serious security risks. What if a prompt injection triggers unintended actions? What if an agent drains an entire treasury?
This is where Kite aims to change the game with its Agent Passport system.
Instead of choosing between zero autonomy and total exposure, Kite introduces a Human-in-the-Loop / Human-in-Control framework:
1. Scoped Sessions: Approve actions using passkeys within predefined boundaries.
2. Strict Guardrails: Set hard limits on total budgets, per-transaction amounts, session expiration, and whitelisted destinations.
3. Fail-Safe Execution: Transactions that violate these parameters are rejected at the protocol level.
By keeping private keys out of the agent's memory and enforcing programmable boundaries, Kite aims to address this security dilemma. Humans retain control while agents gain the operational freedom they need to power the Web3 machine economy.
That's how we move from risky experiments toward scalable, secure AI infrastructure.
#KiteBBW $KITE #AIAgents #Web3Security #AgentEconomy
Allowing AI agents to execute tasks autonomously is powerful, but giving them unrestricted wallet access or credit card details creates serious security risks. What if a prompt injection triggers unintended actions? What if an agent drains an entire treasury?
This is where Kite aims to change the game with its Agent Passport system.
Instead of choosing between zero autonomy and total exposure, Kite introduces a Human-in-the-Loop / Human-in-Control framework:
1. Scoped Sessions: Approve actions using passkeys within predefined boundaries.
2. Strict Guardrails: Set hard limits on total budgets, per-transaction amounts, session expiration, and whitelisted destinations.
3. Fail-Safe Execution: Transactions that violate these parameters are rejected at the protocol level.
By keeping private keys out of the agent's memory and enforcing programmable boundaries, Kite aims to address this security dilemma. Humans retain control while agents gain the operational freedom they need to power the Web3 machine economy.
That's how we move from risky experiments toward scalable, secure AI infrastructure.
#KiteBBW $KITE #AIAgents #Web3Security #AgentEconomy
136
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