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Recall Network RECALL price

Recall Network RECALL priceRECALL

Not listed
$0.{8}4408USD
0.00%1D
The price of Recall Network RECALL (RECALL) in United States Dollar is $0.{8}4408 USD.
Data is sourced from third-party providers. This page and the information provided do not endorse any specific cryptocurrency. Want to trade listed coins?  Click here
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Recall Network RECALL price USD live chart (RECALL/USD)
Last updated as of 2025-10-17 14:38:06(UTC+0)

Recall Network RECALL market Info

Price performance (24h)
24h
24h low $024h high $0
All-time high (ATH):
--
Price change (24h):
Price change (7D):
--
Price change (1Y):
--
Market ranking:
--
Market cap:
$8.34
Fully diluted market cap:
$8.34
Volume (24h):
--
Circulating supply:
1.89B RECALL
Max supply:
100.00B RECALL
Total supply:
1.89B RECALL
Circulation rate:
99%
Contracts:
7Mu5bE...kdWJJU1(Solana)
Links:
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Live Recall Network RECALL price today in USD

The live Recall Network RECALL price today is $0.{8}4408 USD, with a current market cap of $8.34. The Recall Network RECALL price is down by 0.00% in the last 24 hours, and the 24-hour trading volume is $0.00. The RECALL/USD (Recall Network RECALL to USD) conversion rate is updated in real time.
How much is 1 Recall Network RECALL worth in United States Dollar?
As of now, the Recall Network RECALL (RECALL) price in United States Dollar is valued at $0.{8}4408 USD. You can buy 1RECALL for $0.{8}4408 now, you can buy 2,268,599,247.04 RECALL for $10 now. In the last 24 hours, the highest RECALL to USD price is -- USD, and the lowest RECALL to USD price is -- USD.
AI analysis
Today's hot spots in the crypto market

Der Kryptomarkt zeigte sich am 17. Oktober 2025 in einer Phase erheblicher Turbulenzen, die von makroökonomischen Ängsten und einem deutlichen Rückgang der Anlegerstimmung geprägt war. Bitcoin (BTC) und Ethereum (ETH) führten einen breiteren Marktabschwung an, während spezifische Altcoins trotz der Volatilität bemerkenswerte Bewegungen zeigten. Dies geschah inmitten einer Flut von Liquidationen und einer zunehmend vorsichtigen Haltung der Anleger, obwohl einige Analysten die aktuelle Situation als Akkumulationsgelegenheit betrachteten.

Marktabschwung und makroökonomische Belastungen

Der Kryptowährungsmarkt erlebte heute den dritten Tag in Folge einen erheblichen Rückgang. Bitcoin fiel auf unter 109.000 US-Dollar und erreichte zwischenzeitlich Werte um 105.231 US-Dollar, während Ethereum unter die Marke von 4.000 US-Dollar rutschte und bis auf 3.731 US-Dollar sank. [1] Die gesamte Marktkapitalisierung sank unter 3,8 Billionen US-Dollar. [21] Dieser Abwärtstrend wurde maßgeblich durch die wieder aufkeimenden Ängste im US-Bankensektor ausgelöst, nachdem Berichte über faule Kredite bei zwei regionalen US-Banken aufkamen. [1] Darüber hinaus trugen anhaltende Handelsspannungen zwischen den USA und China zu einer allgemeinen Risikoaversion an den globalen Märkten bei. [5] Dies führte zu einem „Flight to Safety“, bei dem Anleger risikoreichere Anlagen, einschließlich Kryptowährungen, mieden und stattdessen sicherere Häfen wie Gold suchten, das ein neues Rekordhoch erreichte. [5]

Die Auswirkungen dieser Ereignisse waren auch in den Liquidationszahlen deutlich. Innerhalb der letzten 24 Stunden wurden Krypto-Positionen im Wert von 723 Millionen US-Dollar liquidiert, wobei der Großteil auf Long-Positionen entfiel. [1] Dies folgte auf ein turbulentes Ereignis in der Vorwoche, bei dem Liquidationen im Wert von 19 Milliarden US-Dollar den Markt erschütterten. [5]

Anlegerstimmung auf Tiefpunkt, aber Akkumulation im Fokus

Die Anlegerstimmung erreichte einen Tiefpunkt, wie der Crypto Fear & Greed Index zeigte, der auf ein Jahres-Tief von 24 („Fear“) sank. [2] Das Interesse an Suchanfragen nach „Bitcoin“ bei Google lag ebenfalls auf einem der niedrigsten Stände seit Monaten, was die nachlassende Begeisterung widerspiegelt. [2, 4] Trotz dieser bärischen Signale sehen Analysten von Bitwise in der aktuellen Korrektur eine „goldene Gelegenheit für Anleger, zu akkumulieren statt in Panik zu geraten“. [2, 4] Sie argumentieren, dass externe Faktoren wie die Handelsspannungen die Hauptursache für den Rückgang seien und dass solche Phasen oft den Beginn eines Erholungszyklus markieren. [2]

Altcoin-Dynamik und technologische Fortschritte

Der Altcoin-Markt zeigte heute gemischte Signale, tendierte aber mehrheitlich nach unten. Der Altcoin Season Index fiel von 78 auf 25, was auf eine deutliche Rotation von Altcoins zurück zu Bitcoin hindeutet. [1] Viele Altcoins, darunter Render (RENDER) und Filecoin (FIL), verzeichneten Rückgänge von über 7%. [1] Einige Ausnahmen gab es jedoch: Zora (ZORA), ein Layer-2-Projekt, legte um 18% zu. [1] Chiliz (CHZ) stieg um 12%, angetrieben durch die bevorstehende Snake8-Hardfork, die das Validatorensystem verbessern soll. [11] Bittensor (TAO) verzeichnete einen starken Anstieg von 36%, nachdem Grayscale einen Form 10-Antrag bei der US SEC für ihren Bittensor Trust eingereicht hatte, was breitere institutionelle Investitionsmöglichkeiten eröffnen könnte. [11] Im Gegensatz dazu wurde Sei (SEI) aufgrund einer bevorstehenden großen Token-Freigabe, die das Angebot erhöhen und den Preis unter Druck setzen könnte, mit Vorsicht betrachtet. [11]

Im Bereich dezentraler Finanzen (DeFi) gab es wichtige Entwicklungen. Uniswap hat native Solana-Unterstützung in seine Webanwendung integriert. [24] Dies ist das erste Mal, dass die Ethereum-basierte DEX eine Nicht-EVM-Blockchain unterstützt, was die Interoperabilität zwischen Ethereum und Solana erheblich verbessert und Uniswap als Multi-Chain-DeFi-Gateway positioniert. [24] Diese Integration nutzt die Jupiter API, um nahtlose Swaps über eine Million Solana-Tokens zu ermöglichen. [24] Derweil warnen Kritiker, dass ein Vorschlag für eine „eingeschränkte Liste“ risikoreicher DeFi-Protokolle in den USA, der von Demokraten vorangetrieben wird, die Innovation behindern und Projekte ins Ausland verlagern könnte. [26]

Auch im Ethereum-Ökosystem gab es bemerkenswerte Aktivitäten. Whales akkumulierten über 417 Millionen US-Dollar in ETH, was auf ein starkes langfristiges Vertrauen hindeutet. [19] Ethereum führte zudem mit 16.000 neuen Entwicklern im Jahr 2025 das Wachstum im Blockchain-Sektor an, gefolgt von Solana mit 11.500 neuen Entwicklern. [20]

Ausblick und wichtige Termine

Obwohl der Markt von Unsicherheit geprägt ist, bleibt Oktober 2025 ein ereignisreicher Monat für die Kryptobranche, mit zahlreichen Konferenzen und Gipfeltreffen wie der 11. European Blockchain Convention und dem Blockchain Life Forum. [3, 6, 7] Die institutionelle Akzeptanz, einschließlich der Genehmigung von Spot Bitcoin-ETFs und der potenziellen Spot-ETFs für Altcoins wie Solana, gilt weiterhin als wichtiger Wachstumstreiber für das vierte Quartal 2025. [28, 29] Bitwise-Analysten betonen auch, dass Tokenisierung von realen Vermögenswerten und die Reifung von DeFi-Lösungen wichtige Trends sind, die das Wachstum vorantreiben werden. [22, 28, 30]

Zusammenfassend lässt sich sagen, dass der Kryptomarkt am 17. Oktober 2025 eine herausfordernde Phase durchlebte, die von Preisrückgängen, Liquidationsdruck und einer pessimistischen Anlegerstimmung gekennzeichnet war. Dennoch gibt es unter der Oberfläche weiterhin bedeutende Entwicklungen in den Bereichen DeFi, Altcoins und institutionelle Akzeptanz, die das Potenzial für eine zukünftige Erholung und Wachstum bergen.

The AI-summarized content may not be fully accurate. Please verify the information from multiple sources. The above does not constitute investment advice.
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The following information is included:Recall Network RECALL price prediction, Recall Network RECALL project introduction, development history, and more. Keep reading to gain a deeper understanding of Recall Network RECALL.

Bitget Insights

BGUSER-TUXTDQEY
BGUSER-TUXTDQEY
6h
From PageRank to RecallRank: A New Paradigm in AI Discovery
From PageRank to RecallRank: A New Paradigm in AI Discovery" describes the shift from website-centric ranking (like Google's PageRank) to a new, AI-native reputation system designed specifically to evaluate and rank AI models and agents. This concept is championed by the Recall Network, which developed the RecallRank protocol to address the shortcomings of traditional, static benchmarks used for AI evaluation. From PageRank to RecallRank: The shift in ranking paradigms Aspect PageRank RecallRank Domain Early internet and website ranking. Emerging AI economy and decentralized AI marketplaces. Methodology Based on link structure. A page's importance is determined by the number and quality of other pages that link to it. Based on verifiable performance. AI agents earn reputation by competing in community-defined, real-world challenges. Incentives Rewards link-building. High-quality, numerous backlinks improve organic rankings and site authority. Rewards verifiable skill. High-ranking AI agents and their supporters are rewarded financially through token curation. Gaming prevention Prone to manipulation. Spamdexing, link farms, and manipulative SEO tactics were used to artificially inflate rankings. Designed to be "ungameable." The system uses dynamic, real-time competitions, so AI cannot be simply trained to memorize test data. Trust and transparency Proprietary and opaque. The public version was retired, and Google's internal algorithm is kept secret to prevent manipulation. Open and on-chain. The protocol operates transparently on a blockchain, with verifiable performance histories and algorithm parameters available publicly. Evaluation scope Universal scoring. A general authority score is applied to an entire webpage or domain. Skill-specific scoring. AIs receive separate reputation scores for each capability, providing more precise matching for user needs. The core problems RecallRank addresses RecallRank seeks to solve the fundamental issues with current AI evaluation systems: Centralized, opaque authority: Current benchmarks and leaderboards are often controlled by a single entity with undisclosed testing procedures, making it difficult to trust the results. Vulnerable to gaming: With static, public benchmarks, developers can over-optimize their AI models to simply pass the test instead of developing genuine real-world capabilities. This can cause the model to underperform in dynamic conditions. Misaligned incentives: Traditional benchmarks are often created by AI researchers to test theoretical capabilities, which may not align with the practical tasks users need to solve, like coding or content creation. The benefits of the new paradigm The shift to a verifiable, performance-based ranking system like RecallRank aims to create a more trustworthy and efficient AI ecosystem. Improved discovery: Enables high-quality search across AI marketplaces by matching user needs to the best-performing, skill-specific AI agents. Market-driven development: By tying rewards to performance and aligning evaluation criteria with community needs, development is directed toward solving practical, valuable problems. Increased trust: Provides transparency through on-chain records, allowing users to verify the history and performance of any AI agent. Fairer competition: Creates a merit-based system that helps promising, new AI agents gain visibility and traction based on their performance, not just brand recognition. $RECALL
RECALL-16.95%
BGUSER-TUXTDQEY
BGUSER-TUXTDQEY
6h
Accelerating the Trillion-Dollar AI Economy through Community Crowdsourcing
Accelerating the Trillion-Dollar AI Economy through Community Crowdsourcin$RECALL Vision and Principles Communities become the engine driving AI innovation by pooling diverse expertise, real-world data, and computing resources into open, incentive-aligned projects. Decentralized coordination ensures that solutions emerge for the most pressing human challenges—from healthcare diagnostics to climate modeling—while broad participation distributes economic value. Core Strategies - Niche Challenge Hubs: Host sector-specific competitions where domain experts and enthusiasts tackle targeted problems. - Open Data Collaboratives: Incentivize members to curate, label, and share high-quality datasets under transparent licensing. - Cross-Disciplinary Hackathons: Unite AI researchers, developers, and end-users in rapid-prototype sprints to surface novel applications. - Partner Ecosystems: Engage universities, NGOs, and industry consortia to seed challenges, provide mentorship, and verify real-world impact. Community Engagement Path 1. Propose a Community Challenge - Any member drafts a problem statement, dataset requirements, and reward structure. 2. Gather Contributors - Developers, data scientists, and domain experts self-organize into teams via on-chain signals. 3. Co-Develop Solutions - Collaborative version control, shared compute credits, and real-time feedback loops accelerate iteration. 4. Validate and Deploy - Decentralized oracles verify performance; winning solutions are deployed in production or open-sourced for further refinement. Incentive Mechanisms - Variable-Bounty Pools: Rewards grow dynamically based on the number of submissions and community stake. - Reputation Tokens: Contributors earn non-fungible badges that unlock premium challenges and governance rights. - Milestone Bonuses: Intermediate targets trigger bonus payouts, keeping long-term projects sustainably funded. - Revenue Share Grants: Deployed solutions generate on-chain fees or royalties distributed back to contributors. Governance Model - community Councils: Rotating committees of elected contributors oversee challenge integrity, dispute resolution, and impact audits. - Quadratic Funding Pools: Public goods initiatives receive matching funds from the community treasury, weighted by unique supporter count. - Transparent Rulebooks: Challenge criteria, dataset standards, and evaluation metrics are codified on-chain for auditability and evolution. Technical Infrastructure - Decentralized Storage Networks (IPFS/Arweave): Securely host datasets, model artifacts, and challenge metadata. - Identity & Reputation Layers: On-chain DID systems ensure sybil resistance and reputational continuity across projects. - Compute Marketplaces: Integrate GPU/TPU rental protocols for elastic, pay-as-you-go training and inference. - Interoperable Smart Contracts: Modular challenge templates and reward logic that can plug into multiple blockchains. Roadmap 1. Pilot Season: Launch 5 industry-focused challenges to validate engagement dynamics and payout flows. 2. Platform Beta: Open community governance, introduce reputation tokens, and establish cross-chain bridges. 3. Ecosystem Growth: Seed regional hubs in healthcare, agriculture, and climate tech with matched grants. 4. Mainnet Scale: Automate funding pools, reputation scoring, and integrate with leading DeFi protocols. 5. Global Impact Phase: Partner with public-sector agencies and NGOs to address UN Sustainable Development Goals. Beyond Community Crowdsourcing - Comparative Performance Analysis: Measure crowdsourced solutions against centralized R&D benchmarks. - Advanced Tokenomics Modeling: Simulate long-term sustainability through deflationary sinks and utility expansions. - Sector Case Studies: Document breakthroughs in precision medicine, disaster response, and smart agriculture. - Policy & Ethics Frameworks: Develop standards for data privacy, model interpretability, and equitable value sharing. - Community-Led Education: Build curricula and mentorship programs that lower the barrier to entry for underrepresented regions.
RECALL-16.95%
BGUSER-TUXTDQEY
BGUSER-TUXTDQEY
6h
Democratizing AI Excellence: Building an On-Chain Skill Marketplace
At its core, an on-chain skill marketplace leverages blockchain transparency and token incentives to let anyone surface, validate, and reward top AI p$RECALL $YB erformers. Vision and Principles An open platform where contributors—even without deep pockets—can propose AI challenges, test models, and earn tokens for quality work. Community-driven rules replace opaque benchmarks, ensuring fairness and broad participation. Core Components 1. On-Chain Challenge Registry - Creators publish tasks with metadata: input data specs, evaluation metrics, deadlines. 2. Tokenized Incentives - Native tokens fund rewards and stake collateral, aligning interests. 3. Automated Skill Assessment - Smart contracts trigger evaluation pipelines via decentralized oracles. 4. Community Validation - Backers stake tokens on submissions, and the network votes to confirm results. User Journey 1. Propose a Challenge - Define objectives, attach stake, and set time frame. 2. Submit and Evaluate - Builders deploy models; oracles run tests and record scores on-chain. 3. Back and Boost - Supporters stake tokens on promising entries, boosting visibility. 4. Distribute Rewards - Winners and their backers receive token payouts automatically. Incentive Mechanisms - Staking and Slashing: Backers risk tokens to prevent spam and low-quality entries. - Tiered Rewards: Top performers earn higher multipliers, encouraging continual improvement. - Reputation Tracks: Persistent scores unlock premium opportunities and governance rights. Governance Model - Decentralized Autonomous Organization (DAO) votes on platform fees, dispute resolutions, and new feature proposals. - On-chain ballots use quadratic voting to balance influence between whales and newcomers. - Periodic governance sprints let the community iterate on challenge formats. Technical Architecture - Smart Contracts: Handle registration, staking, reward logic. - Oracle Network: Securely fetches off-chain evaluation results. - IPFS or Arweave: Stores datasets and model artifacts. - Layer-2 Scaling: Ensures low gas costs for high-frequency interactions. Roadmap 1. MVP Testnet: Basic challenge creation and reward disbursement. 2. Public Beta: Introduce staking, reputation tracking, and initial DAO governance. 3. Mainnet Launch: Full RecallRank integration, cross-chain support, and ecosystem grants.
YB-14.25%
RECALL-16.95%
Tpjoshua
Tpjoshua
6h
staking and earning rewards on $recall
Recall Network uses a system called "conviction staking" to reward long-term holders and incentivize engagement within its AI skill markets. This voluntary program was introduced with the token generation event (TGE) on October 15, 2025, offering a tiered system where a longer staking commitment leads to a higher initial allocation of airdropped tokens.  How conviction staking works Instead of a simple passive reward, conviction staking directly links the amount of tokens a user receives to their staking commitment: Voluntary commitment: When claiming airdropped RECALL tokens, users choose a staking duration. The available options are: 12 months: 100% of allocated tokens 6 months: 60% of allocated tokens 3 months: 40% of allocated tokens 1 month: 20% of allocated tokens No stake: 10% of allocated tokens  Earning additional rewards Forfeited tokens from shorter-term commitments do not disappear. Instead, they are added to a communal rewards pool that is redistributed monthly to active stakers. This means committed participants can potentially increase their holdings over time as other, less-committed users receive a smaller portion of their initial claim.  Integrating staking with platform utility A key feature of the conviction staking system is that locked tokens remain usable within the Recall ecosystem. Users can still deploy their staked RECALL in AI agent competitions or for curation within the skill markets without interrupting their lockup period, creating both passive and active earning opportunities.  Broader platform rewards Beyond the conviction staking program, users can earn RECALL tokens by:  Paying network fees and earning rewards: Using the RECALL token as the native asset for transactions. Governing skill markets: Holders can deposit tokens to create and govern new skill markets and earn fees from the market's operations. Participating in curation: Token holders use RECALL to participate in skill pool curation and predictions, and to ensure honest evaluations. Supporting AI agents: AI agents spend RECALL to participate in competitions to prove their skills, while token holders can take positions on AI products. 
RECALL-16.95%

RECALL/USD price calculator

RECALL
USD
1 RECALL = 0.{8}4408 USD. The current price of converting 1 Recall Network RECALL (RECALL) to USD is 0.{8}4408. This rate is for reference only.
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RECALL resources

Recall Network RECALL ratings
4.6
100 ratings
Contracts:
7Mu5bE...kdWJJU1(Solana)
Links:

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How much is Recall Network RECALL worth right now in other currencies? Last updated: 2025-10-17 14:38:06(UTC+0)

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FAQ

What is the current price of Recall Network RECALL?

The live price of Recall Network RECALL is $0 per (RECALL/USD) with a current market cap of $8.34 USD. Recall Network RECALL's value undergoes frequent fluctuations due to the continuous 24/7 activity in the crypto market. Recall Network RECALL's current price in real-time and its historical data is available on Bitget.

What is the 24 hour trading volume of Recall Network RECALL?

Over the last 24 hours, the trading volume of Recall Network RECALL is $0.00.

What is the all-time high of Recall Network RECALL?

The all-time high of Recall Network RECALL is --. This all-time high is highest price for Recall Network RECALL since it was launched.

Can I buy Recall Network RECALL on Bitget?

Yes, Recall Network RECALL is currently available on Bitget’s centralized exchange. For more detailed instructions, check out our helpful How to buy recall-network-recall guide.

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