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#PRL空投 token is swap soon from your mining season
The live The Parallel price today is $0.0004803 USD with a 24-hour trading volume of $2576.28 USD. We update our PRL to USD price in real-time.
The live The Parallel price today is $0.0004803 USD with a 24-hour trading volume of $2576.28 USD. We update our PRL to USD price in real-time.
I think lost all my alpha points
because no airdrop is round about 117 points
My alpha points
because no airdrop is round about 117 points
My alpha points
Spin and win it about to big challenge to 1000 usdc reward. I'm only win 2 usdc in whole month
KEEP TRY YOUR LUCK
KEEP TRY YOUR LUCK
How to improve more and more alpha points in just 15 days
And the requirement of any new airdrop is up to 200 points
anybody suggest me for more earn alpha points....
My progress .......⬇️⬇️
And the requirement of any new airdrop is up to 200 points
anybody suggest me for more earn alpha points....
My progress .......⬇️⬇️
#NIGHT is the unshielded native and governance token of the Midnight Network.
Midnight uses Zero-Knowledge (ZK) smart contracts to enable programmable privacy. Unlike privacy coins designed solely to hide activity, #NIGHT token is public and transparent (unshielded). Its primary role is to secure the network and generate the DUST resource that powers transactions.
Midnight Network
The architecture of freedom is rational privacy.
What is Midnight
Web3 promised freedom
Midnight restores the original promise of crypto. The network is a fourth-generation blockchain built for rational privacy. No one should be forced to choose between utility and privacy. Midnight’s architecture enables everyone to verify the truth without exposing their personal data.
#night Token supply is 53.33% of Cardano, so it's not strange to think it might have relatively higher value than Cardano per token.
Midnight uses Zero-Knowledge (ZK) smart contracts to enable programmable privacy. Unlike privacy coins designed solely to hide activity, #NIGHT token is public and transparent (unshielded). Its primary role is to secure the network and generate the DUST resource that powers transactions.
Midnight Network
The architecture of freedom is rational privacy.
What is Midnight
Web3 promised freedom
Midnight restores the original promise of crypto. The network is a fourth-generation blockchain built for rational privacy. No one should be forced to choose between utility and privacy. Midnight’s architecture enables everyone to verify the truth without exposing their personal data.
#night Token supply is 53.33% of Cardano, so it's not strange to think it might have relatively higher value than Cardano per token.
$ROBO
Based on recent data, the Fabric Protocol $ROBO token has experienced a highly volatile and active launch period in early March 2026. It is being positioned as a utility and governance token for a decentralized network aiming to support AI and robotics.
Here is the update on $ROBO as of March 9, 2026:
Based on recent data, the Fabric Protocol $ROBO token has experienced a highly volatile and active launch period in early March 2026. It is being positioned as a utility and governance token for a decentralized network aiming to support AI and robotics.
Here is the update on $ROBO as of March 9, 2026:
#dumpling
The cryptocurrency market experienced a downturn as of March 8, 2026, with Bitcoin, Ethereum, and XRP facing short-term weakness and potential for further consolidation within a bearish trend. Key factors driving this decline include large-scale liquidations in derivative markets, persistent inflation, and slowing global growth.
The cryptocurrency market experienced a downturn as of March 8, 2026, with Bitcoin, Ethereum, and XRP facing short-term weakness and potential for further consolidation within a bearish trend. Key factors driving this decline include large-scale liquidations in derivative markets, persistent inflation, and slowing global growth.
S
OPN/USDT
Price
0.3147
$ROBO As of March 8, 2026, Fabric Protocol's ROBO token is trading around $0.040, experiencing a slight retracement of 6-7% in the last 24 hours following a strong monthly rally. Listed on Binance, it serves as the gas fee and governance token for the Base chain-based Fabric network, with a 2.23B circulating supply.
CoinMarketCap +4
Key Updates (March 2026):
Price & Market Context: After significant gains, the price is experiencing profit-taking, with support potentially holding around $0.035–$0.045.
Listing & Ecosystem: Binance recently listed ROBO with a Seed Tag.
Functionality: ROBO covers gas fees on the Fabric network for decentralized applications and enables staking.
Tokenomics: Total supply is 10B, with 2.23B currently in circulation.
Outlook: While the long-term goal is to bridge AI and blockchain, current sentiment is cautious due to recent volatility and high trading volume (profit-taking).
CoinMarketCap +4
Key Updates (March 2026):
Price & Market Context: After significant gains, the price is experiencing profit-taking, with support potentially holding around $0.035–$0.045.
Listing & Ecosystem: Binance recently listed ROBO with a Seed Tag.
Functionality: ROBO covers gas fees on the Fabric network for decentralized applications and enables staking.
Tokenomics: Total supply is 10B, with 2.23B currently in circulation.
Outlook: While the long-term goal is to bridge AI and blockchain, current sentiment is cautious due to recent volatility and high trading volume (profit-taking).
B
ROBO/USDT
Price
0.03974
MIRA and AI
Mira and the Real Price of AI Trust Why Verified Must Mean More Than a Badge
What makes Mira interesting is not simply that it wants AI to be better. Everybody says that. What makes it stand out is the question sitting underneath the whole project: what would it actually take to make the word verified feel real again?
That question matters because trust on the internet has become strangely shallow. A lot of systems do not really prove trustworthiness. They perform it. They create the feeling of safety without always doing the work that safety requires. For years, platforms have trained people to respond to symbols, checkmarks, polished layouts, clean interfaces, and confident language. Most users never see what is happening under the surface. They only see the final signal.
With AI, that gap gets wider.
A person asks a question. The machine answers instantly. It sounds smart. It sounds clear. It may even sound better than something written by a human under pressure. And because it arrives so fast and so cleanly, people often treat it as more reliable than it really is. That is where the trouble starts. The problem is not just that AI can make mistakes. The problem is that it makes mistakes in a way that can be hard to notice at first glance.
Mira’s whole idea is built around that weakness. According to its whitepaper and public material, the network is designed to verify AI outputs by breaking them into smaller claims, sending those claims through a distributed verification process, and then issuing a cryptographic certificate once consensus is reached. In simple terms, the goal is not to trust the answer just because it sounds good. The goal is to test whether the answer can actually hold up when examined piece by piece.
That is a much more serious approach than just asking another model, “Does this look correct?”
Because that is really the heart of the issue. A paragraph can sound perfect while hiding one bad fact. A sentence can feel convincing while carrying a false date, a made-up number, or a claim that falls apart the moment someone tries to trace it back to reality. When people read smooth writing, they usually react to the surface first. They do not naturally stop and pull every sentence apart. Mira seems built around the idea that machines should do some of that heavier checking before the answer is allowed to wear the label verified.
That may sound like a small difference, but it changes everything.
It turns verification into an actual process instead of a vague promise. It says trust should not come from tone. It should come from evidence, review, and some form of agreement that the claims inside the answer have been tested.
And the moment you take that seriously, a new problem appears.
Real verification costs something.
The first cost is speed.
People love instant answers. Companies love giving them. Fast feels impressive. Fast feels modern. Fast makes software look magical. The smoother the experience, the more people tend to trust it emotionally. But proper verification is not magical. It is slower. It takes steps. According to Mira’s design, content has to be broken into claims, distributed across verifiers, checked, aggregated, and only then turned into a certificate. That is not decoration. That is work.
And once that process exists, a product has to make a choice.
Does it want to be fast, or does it want to be honest about when verification is actually complete?
That is where the word verified starts to become expensive. Because if a platform shows a comforting badge before the checking is done, then the badge is not telling the truth. It may look reassuring, but it is not attached to a finished process. A recent commentary on Mira’s integration model made this point clearly: if a badge appears before a certificate exists, then it is not really showing completed verification at all. It is just reflecting a fast response.
That sounds like a technical detail, but it is really a human one.
Once people see the word verified, they relax. They stop questioning as much. They copy the answer into a document, share it with someone else, or act on it without waiting for a second look. Most of them are not going to return later and ask whether the verification process quietly failed in the background. The first signal is usually the one that shapes belief.
So if Mira is serious about restoring meaning to that word, then it is really arguing for something a lot of digital products resist: patience.
That is not an easy sell.
The internet has trained people to expect everything immediately. If one system pauses and says, “We’re still checking,” while another one gives a polished answer instantly, many users will prefer the second one even if it is less trustworthy. That is part of what makes Mira’s project so interesting. It is not only fighting technical problems. It is fighting user habits. It is challenging a whole design culture built around speed first and honesty later.
And speed is only one part of the cost.
Another part is complexity.
A simple AI product can treat every answer as finished the moment it appears on screen. A verified system cannot do that so casually. It has to deal with uncertainty more openly. It may need to show whether an answer is still pending, whether only some claims were confirmed, or whether the response failed to earn certification at all. That makes the product less seamless, but more truthful. It forces a distinction between “here is a generated answer” and “here is an answer that actually passed verification.”
That distinction matters more than most people realize.
There is a huge difference between something that is useful and something that is dependable. AI can often be useful even when it is imperfect. But the moment people start relying on it for decisions, summaries, recommendations, research, compliance, or business workflows, usefulness is no longer enough. At that point, people want something they can stand behind later. They want something they can defend if challenged. They want more than a nice response. They want receipts.
That is where Mira starts to feel less like a flashy AI project and more like infrastructure for a harder future.
Messari’s analysis describes Mira as a verification layer for AI applications rather than just another model. It presents the network as a trust mechanism that sits on top of generation, helping improve reliability through distributed consensus. The report also points to production claims that this process has significantly improved factual accuracy in real deployments.
Those kinds of claims are promising, but they should still be read with common sense. Early-stage technology always comes with strong optimism, selective examples, and a desire to prove momentum. That does not mean the claims are empty. It just means mature trust is built by testing bold numbers, not by repeating them blindly. In a way, that fits Mira’s whole philosophy. A project built around verification should be comfortable with scrutiny.
Another striking part of Mira’s design is the role of incentives.
The whitepaper explains that some verification tasks can be narrow enough that random guessing becomes a real issue. If a verifier is only choosing between a small number of outcomes, there is a temptation to be lazy and trust probability rather than careful checking. Mira’s answer is staking and slashing. Participants put value at risk, and if their behavior suggests poor or dishonest verification, they can be penalized.
That might sound dry on paper, but the idea behind it is very human: people take things more seriously when there is something to lose.
That is true everywhere, not just in blockchain systems or AI infrastructure. There is a big difference between casually saying, “Yeah, that looks right,” and putting your name on a process that carries consequences if you are careless. Weight changes behavior. Risk changes behavior. Mira is trying to give verification that missing weight.
And honestly, that may be one of the project’s strongest instincts.
For too long, digital trust has been cheap. Platforms have used labels and symbols to create the appearance of accountability without always building systems that make carelessness costly. Mira is at least trying to go in the opposite direction. It is saying that if something is going to be called verified, then the process behind that word should involve real effort, real structure, and real consequences for getting it wrong.
There is also the issue of privacy, which cannot be ignored. Verification sounds great until people start asking a reasonable question: if multiple parties are checking my content, who gets to see it? Mira’s whitepaper addresses that by explaining that content is broken into smaller entity-claim pairs and sharded across nodes so no single participant can reconstruct the full original material. It also says responses remain private until consensus is reached, while the final certificate contains only necessary details.
That matters because trust systems can accidentally create new problems while trying to solve old ones. A verification network that exposed too much sensitive content would quickly lose credibility. Mira seems aware of that tension. It is trying to build a structure where verification does not require handing the full picture to everyone involved.
That part feels especially important in a world where people are being asked to trust more and more invisible systems every year.
What Mira is really doing, beneath all the technical language, is making a cultural argument. It is pushing back against the idea that speed alone should define good software. It is pushing back against the habit of treating polished output as proof. And maybe most of all, it is pushing back against the lazy use of reassuring words.
Because “verified” should not be a mood.
It should not be a marketing trick. It should not be a visual shortcut that appears before the real work is done. It should mean something happened. Something measurable. Something checkable. Something that justifies the confidence the label is asking from people.
That is why the phrase “the cost of taking verified back” feels so fitting. Taking it back is not about branding. It is about giving the word its weight again. And weight always comes with tradeoffs. You lose some speed. You lose some simplicity. You lose some of the artificial magic that makes products look effortless. In return, you gain something much harder to fake.
You gain substance.
That may end up being one of the biggest dividing lines in the future of AI. Not which systems can generate the most words, or sound the smartest, or answer the fastest, but which systems can make their outputs trustworthy in a way that survives inspection.
Because sooner or later, people have to live with the answers these systems give them.
A bad summary can shape a decision.
A false claim can end up in a report.
A made-up detail can spread because nobody stopped to question a polished response.
And once that happens, a sleek interface suddenly feels much less impressive.
Mira matters because it starts from that uncomfortable reality. It assumes that reliability cannot be treated as a cosmetic extra. It has to be built into the process itself. That makes the project less glamorous than some of the louder stories in AI, but maybe more relevant in the long run.
The internet spent years teaching people to trust signals that looked convincing. AI has made the cost of that habit much higher. So perhaps the next stage belongs to systems willing to do the slower, heavier, less flashy work of checking what they claim to know.
And that is really what Mira is about.
Not just verifying AI outputs, but trying to restore seriousness to a word that has been watered down for too long. If it succeeds, its biggest contribution may not be technical at all. It may be reminding the industry that trust is not something you sprinkle on top of an answer after it appears.....
What makes Mira interesting is not simply that it wants AI to be better. Everybody says that. What makes it stand out is the question sitting underneath the whole project: what would it actually take to make the word verified feel real again?
That question matters because trust on the internet has become strangely shallow. A lot of systems do not really prove trustworthiness. They perform it. They create the feeling of safety without always doing the work that safety requires. For years, platforms have trained people to respond to symbols, checkmarks, polished layouts, clean interfaces, and confident language. Most users never see what is happening under the surface. They only see the final signal.
With AI, that gap gets wider.
A person asks a question. The machine answers instantly. It sounds smart. It sounds clear. It may even sound better than something written by a human under pressure. And because it arrives so fast and so cleanly, people often treat it as more reliable than it really is. That is where the trouble starts. The problem is not just that AI can make mistakes. The problem is that it makes mistakes in a way that can be hard to notice at first glance.
Mira’s whole idea is built around that weakness. According to its whitepaper and public material, the network is designed to verify AI outputs by breaking them into smaller claims, sending those claims through a distributed verification process, and then issuing a cryptographic certificate once consensus is reached. In simple terms, the goal is not to trust the answer just because it sounds good. The goal is to test whether the answer can actually hold up when examined piece by piece.
That is a much more serious approach than just asking another model, “Does this look correct?”
Because that is really the heart of the issue. A paragraph can sound perfect while hiding one bad fact. A sentence can feel convincing while carrying a false date, a made-up number, or a claim that falls apart the moment someone tries to trace it back to reality. When people read smooth writing, they usually react to the surface first. They do not naturally stop and pull every sentence apart. Mira seems built around the idea that machines should do some of that heavier checking before the answer is allowed to wear the label verified.
That may sound like a small difference, but it changes everything.
It turns verification into an actual process instead of a vague promise. It says trust should not come from tone. It should come from evidence, review, and some form of agreement that the claims inside the answer have been tested.
And the moment you take that seriously, a new problem appears.
Real verification costs something.
The first cost is speed.
People love instant answers. Companies love giving them. Fast feels impressive. Fast feels modern. Fast makes software look magical. The smoother the experience, the more people tend to trust it emotionally. But proper verification is not magical. It is slower. It takes steps. According to Mira’s design, content has to be broken into claims, distributed across verifiers, checked, aggregated, and only then turned into a certificate. That is not decoration. That is work.
And once that process exists, a product has to make a choice.
Does it want to be fast, or does it want to be honest about when verification is actually complete?
That is where the word verified starts to become expensive. Because if a platform shows a comforting badge before the checking is done, then the badge is not telling the truth. It may look reassuring, but it is not attached to a finished process. A recent commentary on Mira’s integration model made this point clearly: if a badge appears before a certificate exists, then it is not really showing completed verification at all. It is just reflecting a fast response.
That sounds like a technical detail, but it is really a human one.
Once people see the word verified, they relax. They stop questioning as much. They copy the answer into a document, share it with someone else, or act on it without waiting for a second look. Most of them are not going to return later and ask whether the verification process quietly failed in the background. The first signal is usually the one that shapes belief.
So if Mira is serious about restoring meaning to that word, then it is really arguing for something a lot of digital products resist: patience.
That is not an easy sell.
The internet has trained people to expect everything immediately. If one system pauses and says, “We’re still checking,” while another one gives a polished answer instantly, many users will prefer the second one even if it is less trustworthy. That is part of what makes Mira’s project so interesting. It is not only fighting technical problems. It is fighting user habits. It is challenging a whole design culture built around speed first and honesty later.
And speed is only one part of the cost.
Another part is complexity.
A simple AI product can treat every answer as finished the moment it appears on screen. A verified system cannot do that so casually. It has to deal with uncertainty more openly. It may need to show whether an answer is still pending, whether only some claims were confirmed, or whether the response failed to earn certification at all. That makes the product less seamless, but more truthful. It forces a distinction between “here is a generated answer” and “here is an answer that actually passed verification.”
That distinction matters more than most people realize.
There is a huge difference between something that is useful and something that is dependable. AI can often be useful even when it is imperfect. But the moment people start relying on it for decisions, summaries, recommendations, research, compliance, or business workflows, usefulness is no longer enough. At that point, people want something they can stand behind later. They want something they can defend if challenged. They want more than a nice response. They want receipts.
That is where Mira starts to feel less like a flashy AI project and more like infrastructure for a harder future.
Messari’s analysis describes Mira as a verification layer for AI applications rather than just another model. It presents the network as a trust mechanism that sits on top of generation, helping improve reliability through distributed consensus. The report also points to production claims that this process has significantly improved factual accuracy in real deployments.
Those kinds of claims are promising, but they should still be read with common sense. Early-stage technology always comes with strong optimism, selective examples, and a desire to prove momentum. That does not mean the claims are empty. It just means mature trust is built by testing bold numbers, not by repeating them blindly. In a way, that fits Mira’s whole philosophy. A project built around verification should be comfortable with scrutiny.
Another striking part of Mira’s design is the role of incentives.
The whitepaper explains that some verification tasks can be narrow enough that random guessing becomes a real issue. If a verifier is only choosing between a small number of outcomes, there is a temptation to be lazy and trust probability rather than careful checking. Mira’s answer is staking and slashing. Participants put value at risk, and if their behavior suggests poor or dishonest verification, they can be penalized.
That might sound dry on paper, but the idea behind it is very human: people take things more seriously when there is something to lose.
That is true everywhere, not just in blockchain systems or AI infrastructure. There is a big difference between casually saying, “Yeah, that looks right,” and putting your name on a process that carries consequences if you are careless. Weight changes behavior. Risk changes behavior. Mira is trying to give verification that missing weight.
And honestly, that may be one of the project’s strongest instincts.
For too long, digital trust has been cheap. Platforms have used labels and symbols to create the appearance of accountability without always building systems that make carelessness costly. Mira is at least trying to go in the opposite direction. It is saying that if something is going to be called verified, then the process behind that word should involve real effort, real structure, and real consequences for getting it wrong.
There is also the issue of privacy, which cannot be ignored. Verification sounds great until people start asking a reasonable question: if multiple parties are checking my content, who gets to see it? Mira’s whitepaper addresses that by explaining that content is broken into smaller entity-claim pairs and sharded across nodes so no single participant can reconstruct the full original material. It also says responses remain private until consensus is reached, while the final certificate contains only necessary details.
That matters because trust systems can accidentally create new problems while trying to solve old ones. A verification network that exposed too much sensitive content would quickly lose credibility. Mira seems aware of that tension. It is trying to build a structure where verification does not require handing the full picture to everyone involved.
That part feels especially important in a world where people are being asked to trust more and more invisible systems every year.
What Mira is really doing, beneath all the technical language, is making a cultural argument. It is pushing back against the idea that speed alone should define good software. It is pushing back against the habit of treating polished output as proof. And maybe most of all, it is pushing back against the lazy use of reassuring words.
Because “verified” should not be a mood.
It should not be a marketing trick. It should not be a visual shortcut that appears before the real work is done. It should mean something happened. Something measurable. Something checkable. Something that justifies the confidence the label is asking from people.
That is why the phrase “the cost of taking verified back” feels so fitting. Taking it back is not about branding. It is about giving the word its weight again. And weight always comes with tradeoffs. You lose some speed. You lose some simplicity. You lose some of the artificial magic that makes products look effortless. In return, you gain something much harder to fake.
You gain substance.
That may end up being one of the biggest dividing lines in the future of AI. Not which systems can generate the most words, or sound the smartest, or answer the fastest, but which systems can make their outputs trustworthy in a way that survives inspection.
Because sooner or later, people have to live with the answers these systems give them.
A bad summary can shape a decision.
A false claim can end up in a report.
A made-up detail can spread because nobody stopped to question a polished response.
And once that happens, a sleek interface suddenly feels much less impressive.
Mira matters because it starts from that uncomfortable reality. It assumes that reliability cannot be treated as a cosmetic extra. It has to be built into the process itself. That makes the project less glamorous than some of the louder stories in AI, but maybe more relevant in the long run.
The internet spent years teaching people to trust signals that looked convincing. AI has made the cost of that habit much higher. So perhaps the next stage belongs to systems willing to do the slower, heavier, less flashy work of checking what they claim to know.
And that is really what Mira is about.
Not just verifying AI outputs, but trying to restore seriousness to a word that has been watered down for too long. If it succeeds, its biggest contribution may not be technical at all. It may be reminding the industry that trust is not something you sprinkle on top of an answer after it appears.....
febric foundation
Based on the search results, "Fabric Foundation" refers to a new, emerging blockchain-based initiative designed as a coordination layer for AI and robotics. It is not focused on building robots themselves, but rather on creating a decentralized infrastructure where autonomous machines can share data, compute, and, most importantly, provide proof of their actions.
Binance +3
Here are the key aspects of the Fabric Foundation, primarily based on discussions from early 2026:
Core Purpose: "Market, Not Just Robots"
Decentralized Coordination: The platform aims to connect developers, operators, and users, acting as a "nervous system" for AI-powered machines to interact without relying on a single, centralized authority.Verifiable Actions: The key, differentiating thought behind this project is moving from simple AI generation to "provable behavior". It seeks to create a public ledger to confirm that a robot has actually performed a task (e.g., delivery, maintenance).Modular "Skill Chips": Instead of monolithic AI products, Fabric promotes a model of "skill chips," similar to an app store, allowing robots to learn new tasks from a shared, verified pool. Binance +3
Binance +3
Here are the key aspects of the Fabric Foundation, primarily based on discussions from early 2026:
Core Purpose: "Market, Not Just Robots"
Decentralized Coordination: The platform aims to connect developers, operators, and users, acting as a "nervous system" for AI-powered machines to interact without relying on a single, centralized authority.Verifiable Actions: The key, differentiating thought behind this project is moving from simple AI generation to "provable behavior". It seeks to create a public ledger to confirm that a robot has actually performed a task (e.g., delivery, maintenance).Modular "Skill Chips": Instead of monolithic AI products, Fabric promotes a model of "skill chips," similar to an app store, allowing robots to learn new tasks from a shared, verified pool. Binance +3
mira
$MIRA ($MIRA ) is a decentralized AI verification network designed to reduce AI hallucinations through consensus-based validation
. While promising as an infrastructure layer for trusted AI, the token has faced high volatility, experiencing significant downward pressure after its launch, with future price performance heavily dependent on upcoming token unlocks and adoption.
CoinMarketCap +3
Here are key thoughts and insights based on current market data:
Project Vision: Mira aims to solve the "trust" problem in AI by routing outputs through multiple independent AI models to verify accuracy. It focuses on high-stakes sectors like legal and finance, positioning itself as a "check and balance" system.Market Performance: After a nearly 10x surge upon launch, $MIRA has been in a, often forming new, lower lows, notes Binance Square. The price has shown significant volatility, with TradingView reporting arounddaily volatility.Tokenomics & Risks: The token has a 1 billion total supply, with ~245M currently circulating, as stated on CoinMarketCap. ~34% of the supply is slated for upcoming releases, which could create selling pressure.Use Cases & Adoption: Beyond verification, $MIRA acts as a utility token for staking, governance, and securing the network, according to Binance. It is also linked to real-world asset (RWA)
. While promising as an infrastructure layer for trusted AI, the token has faced high volatility, experiencing significant downward pressure after its launch, with future price performance heavily dependent on upcoming token unlocks and adoption.
CoinMarketCap +3
Here are key thoughts and insights based on current market data:
Project Vision: Mira aims to solve the "trust" problem in AI by routing outputs through multiple independent AI models to verify accuracy. It focuses on high-stakes sectors like legal and finance, positioning itself as a "check and balance" system.Market Performance: After a nearly 10x surge upon launch, $MIRA has been in a, often forming new, lower lows, notes Binance Square. The price has shown significant volatility, with TradingView reporting arounddaily volatility.Tokenomics & Risks: The token has a 1 billion total supply, with ~245M currently circulating, as stated on CoinMarketCap. ~34% of the supply is slated for upcoming releases, which could create selling pressure.Use Cases & Adoption: Beyond verification, $MIRA acts as a utility token for staking, governance, and securing the network, according to Binance. It is also linked to real-world asset (RWA)
febric foundation
Fabric Protocol is a global open network supported by the non-profit Fabric Foundation, enabling the construction, governance, and collaborative evolution of general-purpose robots through verifiable computing and agent-native infrastructure. The protocol coordinates data, computation, and regulation via a public ledger, combining modular infrastructure to facilitate safe human-machine collaboration.
$BNB As of March 7, 2026, BNB is trading around $627–$629 USD, experiencing a slight 24-hour decline of approximately 1.5% to 1.9%. The market cap remains strong at over $85 billion, with the price showing volatility after testing higher levels earlier in the week. Recent activity includes new AI tools for trading and network upgrades, with the token continuing to function as the core utility asset for the BNB Chain ecosystem.
$BTC The live Bitcoin price today is $67982.58 USD with a 24-hour trading volume of $38179154121.49 USD. We update our BTC to USD price in real-time.
US$67,873.51
US$67,873.51
S
BTC/USDT
Price
67,988.65
#mira $MIRA Mira
Trustless, verified intelligence. Mira makes AI reliable, by verifying outputs and actions at every step using collective intelligence.

Bitget
https://www.bitget.com
What is Mira (MIRA)| How To Get & Use Mira
As a new type of currency with innovative technology and unique use cases, MIRA has broad market potential and significant room for development. The ...
2 days ago — In short, Mira Coin is just a way to send money easily online—from your digital wallet, through a network check, and into someone else's wal
Trustless, verified intelligence. Mira makes AI reliable, by verifying outputs and actions at every step using collective intelligence.

Bitget
https://www.bitget.com
What is Mira (MIRA)| How To Get & Use Mira
As a new type of currency with innovative technology and unique use cases, MIRA has broad market potential and significant room for development. The ...
2 days ago — In short, Mira Coin is just a way to send money easily online—from your digital wallet, through a network check, and into someone else's wal
mira info
outputs into individual, verifiable claims that are then validated by a decentralized network of nodes.
CoinMarketCap
Key Information About Mira (MIRA) Token:
Live Price (as of March 7, 2026): Approx. $0.086 - $0.091 USDTotal Supply: 1,000,000,000 MIRACirculating Supply: ~191.2 million to 244.87 million (depending on source)Market Cap: ~$17.4M - $21.2MBlockchain: Built on the Base blockchain (Ethereum Layer 2)All-Time High: $2.68 (recorded Sep 26, 2025)Where to Trade: Binance, Gate, HTX, MEXC CoinGecko +4
Core Features and Utility:
Verification Protocol: Uses a hybrid Proof-of-Work (for inference) and Proof-of-Stake (for staking) model to ensure accuracy.Node Operator Staking: Operators must stake MIRA to secure the network and receive rewards, with penalties (slashing) for malicious activity.Governance: Token holders can participate in voting on protocol upgrades and future development.API Access: MIRA is used to pay for the Verified Generate API and Mira Flows marketplace.Ecosystem Applications: The project powers apps like Klok (AI assistant), Delphi Oracle (research), and other consumer applications like Astro and Amor. Binance +2
Partnerships and Funding:
Funding: In June 2024, Mira secured $9M in seed funding, co-led by Bitkraft Ventures and Framework Ventures.Key Partners: The project has collaborated with entities like Monad.
Note: There is another, separate cryptocurrency called "Chains of War" that also uses the ticker MIRA, but it is a distinct project.
Yahoo! Finance Canada +2
What is MIRA Network (MIRA Coin)? Complete Guide to the AI ...
01-Mar-2026 — What is MIRA Network (MIRA Coin)? Complete Guide to the AI Verification Crypto Token. ... In the rapidly evolving world of artificial intelligence, one critical...
Binance
What Is Mira (MIRA) And How Does It Work? - CoinMarketCap
02-Mar-2026 — What is Mira (MIRA)? * Core Purpose: It tackles the fundamental problem of AI unreliability, such as hallucinations and bias, by providing a decentralized verif...
CoinMarketCap
MIRA Live Price Chart, Market Cap & News Today - CoinGecko
Mira. MIRA Price. ... How is the price of Mira (MIRA) calculated? The price of Mira (MIRA) is calculated in real-time by aggregating the latest data across 22 e...
CoinGecko
Mira price today, MIRA to USD live price, marketcap and chart
07-Mar-2026 — About Mira. ... Mira is the decentralized verification network that enables truly autonomous AI. Current AI systems produce hallucinations and unreliable output...
CoinMarketCap
What is Mira (MIRA)? - Binance TH
06-Nov-2025 — What is Mira (MIRA)? Currently, most AI systems still rely on human oversight because their outputs may contain errors or biases. Mira is a decentralized ve...
Binance TH
What is MIRA Network (MIRA Coin)? Complete Guide to the AI ...
26-Sept-2025 — What is MIRA Network (MIRA Coin)? Complete Guide to the AI Verification Crypto Token MIRA$0.09024-0.47% TOKEN$0.002998-3.50% FUTURE$0.0595-0.28% NODE$0.
MEXC
Mira Network (MIRA) Overview - Coinlaunch
17-Dec-2024 — Mira Network Price: 🏦 Market Cap $18,485,249. 💰 FDV $90,658,033. 📊 Volume $9,808,207. 📈 ATH Price $2.68. ... Mira Network (MIRA) ... Mira Network is...
Coinlaunch
Mira Price Today | MIRA to USD Live Price, Market Cap & Chart
05-Mar-2026 — MIRA to USD: * 1 Mira equals $0.090714 USD+1.63%1D. 1D 7D 1M 3M 1Y YTD. We are still collecting it, please come back later! USD. Buy MIRA. Trade MIRA. You Buy. ...
Binance
Chains of War USD Price (MIRA-USD)
Chains of War USD Overview. Chains of War (MIRA) is a cryptocurrency launched in 2022and operates on the Ethereum platform. Chains of War has a current supply o...
Yahoo! Finance Canada
Chains of War (MIRA) Price Today, News & Live Chart
04-Mar-2026 — About Chains of War $MIRA is the Official Chains of War Token for utility and (in-game) ecosystem. The Chains of War ecosystem thrives on the oxygen-absorbent m...
Forbes
Mira Price Today | MIRA to USD Live Price, Market Cap & Chart
25-Feb-2026 — MIRA to USD: * 1 Mira equals $0.085758 USD+6.82%1D. 1D 7D 1M 3M 1Y YTD. We are still collecting it, please come back later! USD. Buy MIRA. Trade MIRA. You Buy. ...
Binance
Show more
CoinMarketCap
https://coinmarketcap.com
Mira price today, MIRA to USD live price, marketcap and chart
The live Mira price today is $0.086880 USD with a 24-hour trading volume of $6,758,629 USD. We update our MIRA to USD price in real-time. Mira is down 4.88% in ...
CoinMarketCap
Key Information About Mira (MIRA) Token:
Live Price (as of March 7, 2026): Approx. $0.086 - $0.091 USDTotal Supply: 1,000,000,000 MIRACirculating Supply: ~191.2 million to 244.87 million (depending on source)Market Cap: ~$17.4M - $21.2MBlockchain: Built on the Base blockchain (Ethereum Layer 2)All-Time High: $2.68 (recorded Sep 26, 2025)Where to Trade: Binance, Gate, HTX, MEXC CoinGecko +4
Core Features and Utility:
Verification Protocol: Uses a hybrid Proof-of-Work (for inference) and Proof-of-Stake (for staking) model to ensure accuracy.Node Operator Staking: Operators must stake MIRA to secure the network and receive rewards, with penalties (slashing) for malicious activity.Governance: Token holders can participate in voting on protocol upgrades and future development.API Access: MIRA is used to pay for the Verified Generate API and Mira Flows marketplace.Ecosystem Applications: The project powers apps like Klok (AI assistant), Delphi Oracle (research), and other consumer applications like Astro and Amor. Binance +2
Partnerships and Funding:
Funding: In June 2024, Mira secured $9M in seed funding, co-led by Bitkraft Ventures and Framework Ventures.Key Partners: The project has collaborated with entities like Monad.
Note: There is another, separate cryptocurrency called "Chains of War" that also uses the ticker MIRA, but it is a distinct project.
Yahoo! Finance Canada +2
What is MIRA Network (MIRA Coin)? Complete Guide to the AI ...
01-Mar-2026 — What is MIRA Network (MIRA Coin)? Complete Guide to the AI Verification Crypto Token. ... In the rapidly evolving world of artificial intelligence, one critical...
Binance
What Is Mira (MIRA) And How Does It Work? - CoinMarketCap
02-Mar-2026 — What is Mira (MIRA)? * Core Purpose: It tackles the fundamental problem of AI unreliability, such as hallucinations and bias, by providing a decentralized verif...
CoinMarketCap
MIRA Live Price Chart, Market Cap & News Today - CoinGecko
Mira. MIRA Price. ... How is the price of Mira (MIRA) calculated? The price of Mira (MIRA) is calculated in real-time by aggregating the latest data across 22 e...
CoinGecko
Mira price today, MIRA to USD live price, marketcap and chart
07-Mar-2026 — About Mira. ... Mira is the decentralized verification network that enables truly autonomous AI. Current AI systems produce hallucinations and unreliable output...
CoinMarketCap
What is Mira (MIRA)? - Binance TH
06-Nov-2025 — What is Mira (MIRA)? Currently, most AI systems still rely on human oversight because their outputs may contain errors or biases. Mira is a decentralized ve...
Binance TH
What is MIRA Network (MIRA Coin)? Complete Guide to the AI ...
26-Sept-2025 — What is MIRA Network (MIRA Coin)? Complete Guide to the AI Verification Crypto Token MIRA$0.09024-0.47% TOKEN$0.002998-3.50% FUTURE$0.0595-0.28% NODE$0.
MEXC
Mira Network (MIRA) Overview - Coinlaunch
17-Dec-2024 — Mira Network Price: 🏦 Market Cap $18,485,249. 💰 FDV $90,658,033. 📊 Volume $9,808,207. 📈 ATH Price $2.68. ... Mira Network (MIRA) ... Mira Network is...
Coinlaunch
Mira Price Today | MIRA to USD Live Price, Market Cap & Chart
05-Mar-2026 — MIRA to USD: * 1 Mira equals $0.090714 USD+1.63%1D. 1D 7D 1M 3M 1Y YTD. We are still collecting it, please come back later! USD. Buy MIRA. Trade MIRA. You Buy. ...
Binance
Chains of War USD Price (MIRA-USD)
Chains of War USD Overview. Chains of War (MIRA) is a cryptocurrency launched in 2022and operates on the Ethereum platform. Chains of War has a current supply o...
Yahoo! Finance Canada
Chains of War (MIRA) Price Today, News & Live Chart
04-Mar-2026 — About Chains of War $MIRA is the Official Chains of War Token for utility and (in-game) ecosystem. The Chains of War ecosystem thrives on the oxygen-absorbent m...
Forbes
Mira Price Today | MIRA to USD Live Price, Market Cap & Chart
25-Feb-2026 — MIRA to USD: * 1 Mira equals $0.085758 USD+6.82%1D. 1D 7D 1M 3M 1Y YTD. We are still collecting it, please come back later! USD. Buy MIRA. Trade MIRA. You Buy. ...
Binance
Show more
CoinMarketCap
https://coinmarketcap.com
Mira price today, MIRA to USD live price, marketcap and chart
The live Mira price today is $0.086880 USD with a 24-hour trading volume of $6,758,629 USD. We update our MIRA to USD price in real-time. Mira is down 4.88% in ...
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