Press Release
“Algorithm + Credit” Rebuild the Value Foundation of DeFi
DeFi still has higher attention, with rapid technological innovation and continuous expansion of application scope, The goal of DeFi is undoubtedly to build a more effective, free, and transparent financial ecology. However, finance always develops with money and brings value exchange. Therefore, whether it is a decentralized scenario or a mass application toward reality in the future, stable cryptocurrency is crucial for users, so as to realize the dream of making virtual ideas become reality.
For this reason, in the field of cryptocurrency, many teams have been exploring stable currency. According to CryptoQuant data, stabilecoin holdings on global crypto exchanges hit a high record of $9.8 billion as of March 28, 2021. At the same time, the total stable currency market capitalization once topped $80 billion, according to CoinGecko, the current daily trading volume of all stable currencies is about $118.340 billion. Also, CoinMarketCap shows there are 16 mainstream stable currencies now.
The stable currency is illusory?
In general, both USDT and DAI are still on their way and haven’t really achieved the goal of “stable currency”. Tether’s White Paper said: “Tether is a decentralized cryptocurrency, but we are not a perfectly decentralized company. We store all of our assets as a centralized pledge.” Therefore, USDT is just borrowing the name of the cryptocurrency, but it is not really decentralized.
DAI, developed by MakerDao, is the largest decentralized stable currency on Ethereum. It is issued with the guarantee of the full amount of assets on the blockchain. It is only generated in the application scenario based on the mortgage, and the market value of the mortgage assets is the ceiling of it. Therefore, these stable currencies are illusory in a sense.
Will algorithmic stable currencies finally fail?
Now let’s take a look at the development process of algorithmic stable currencies, known as the holy grail of cryptocurrency. From stable currency1.0 represented by AMPL, stable currency2.0 represented by Basis Cash to stable currency 3.0: Frax Finance, all of them have gone through a period of growth. However, the stable currency reality is that we live under the sense of “ever-changing”, and stable value is still in the ideal.
AMPL algorithmic stable currency is used to increase or decrease the supply of AMPL in order to keep the price of AMPL around $ 1. Ampleforth uses Rebase operation to change the AMPL held by all users as a whole. The Rebase price is based on the average price of the past 24 hours. When this price is above $1.05, the AMPL balance in all users’ wallets increases simultaneously. At prices below $0.95, all users’ AMPL balances decrease simultaneously. During this process, the percentage of AMPL held by users in the supply does not change. It looks like everything is fine on its own, but when the price of cryptos falls to the point where deflation is needed, both the quantity and price of coins held by users are falling, so users face a double whammy.
So it’s easy to create a death spiral. Similarly, when crypto price rises, it is easy to create an upward death spiral. Thus it can be seen that this price model only has two possibilities: the price continues to fall, get into the infinite death circle and leave the market, and the price rises steadily to around 1USDT; Prices rising, the AMPL has been printing (dividend), AMPL reserve disappeared, crypto began to value return, people in loss cannot gain AMPL, prices will fall back near 1 USDT (need funds continue getting into the market), so it is difficult to see AMPL achieve speculation, meanwhile achieve stability, And stability is a necessary condition for a stable currency.
Basis Cash, as represented by 2.0, includes three tokens, Basis Cash (BAC), Basis Share (BAS), and Basis Bond (BAB), among which BAB is non-transferable. The BAC is the stable currency, anchored to $1; BAS is an equity token, and newly-minted BAC tokens can be allocated. BAB is a bond. There is nothing wrong with Basis Cash based on the algorithm itself, but without a good application scenario, relying on the debt market itself is dangerous. There is actually a problem with debt financing in traditional markets, where those “too big to fail” entities can take on the risk of impunity through socialized bailout costs. It is entirely possible that Basis Cash could go into a debt spiral, in which case there would be no willing contributors, the debt would accumulate and the protocol would collapse.
Finance FX is the first partial algorithmic stable currency project, adding the concept of using “partially stable” as a collateral asset to the existing algorithmic stable currency. There are two types of tokens in Frax, the stabilization token Frax, and the governance token FXS. Frax costs USDC and FXS, but only USDC during creation. The initial mortgage rate is 100%, that is, all USDC mortgage is used to cast FRAX. After that, the mortgage rate will be adjusted every hour. If the price of FRAX is more than $1, the mortgage rate will be reduced and FXS ‘share in it will be increased. Raise the mortgage rate if the Frax falls below $1. The mortgage rate is adjusted every hour by 0.25% each time. But its high mortgage ratio leads to the lack of user appeal, its currency numbers and market supply have been stagnant.
Although the above three generations of stable currencies seem to be making breakthroughs and innovations, they do not give a satisfactory answer on how to solve the credit problem. However, algorithm stable currency that cannot solve the credit problem is useless. Bitcoin came into being to solve the problem of credit, but the stable currency, as an important extension of its development, has not inherited the legacy of credit, and is still stuck in the algorithm.
Crypto Credit Network (CCN)
In the financial field, credit is the foundation and the lifeblood. This is true of both traditional and modern financial systems. In the traditional financial system, credit mainly relies on the guarantee of laws and institutions. Apart from the high operation cost, the “credit crisis” gradually exposed by financial intermediaries is the fundamental reason why people urgently embrace the blockchain technology. Algorithm stable currency is going to help cryptos solve the credit problems, guaranteeing machine credit by algorithm, which does not rely on third-party subjective will and makes transaction transparent, efficient, reliable, and stable, let people who do not have to establish credit relationship between each other to achieve cooperation and free trading, reduce the cost of credit.
However, the world of blockchain cryptocurrency is a chaotic existence without a role name. To change from chaos to brightness, each individual needs to have his or her own identity, so that we can obtain the faith like phoenix nirvana. The CCN gives each individual a unique CID (Crypto Identification), which is the most basic rule in the Crypto world. To build a new crypto world of order, autonomy, and equality.
The construction of CCN not only takes blockchain technology as support, but also has a reasonable economic incentive mechanism. Reasonable use of incentive mechanism is an effective means to stimulate all parties to participate in the construction of CCN.
A sound incentive mechanism, reasonable mechanism design from the perspective of leading efficiency and fair governance, can make the value generated by credit information flow effectively to the value provider in the blockchain world, punish the evil behavior, and resolve the conflict between individual interests and collective interests. It makes the individual’s behavior of pursuing individual interests unified with the goal of maximizing collective value.
Therefore, CCN can further clarify the economic interests of each participant and the overall interests of the network, so as to fully mobilize the enthusiasm of each participant and guarantee great development of CCN from the source.
The CCN consists of three different identities: Creator, Guardian, and Angel, all of them have established screening mechanisms. Only firm believers can obtain the CCN identity. Early believers are required to contribute to maintaining the stability of early CCN by burning GAC tokens. Therefore, they are not only holders of GaeaCoin, but also determined preachers and builders. When GaeaCoin issues additional shares, it will also receive a corresponding percentage of GAC tokens as a reward.
The establishment of this system aims to provide every GaeaCoin participant with the opportunity to contribute to the community construction, and to create a healthy crypto community culture of dedication and autonomy through consensus, symbiosis, co-construction, and sharing.
In CCN, although the identity is different, the residents on the chain of CCN build the initial transaction link according to their CID address, and constantly expand CCN on the chain. Open CID needs to be recommended by the network resident, once the link is formed, it cannot be changed forever. Each of the three different identities requires a different number of GAC tokens to burn, which can be viewed on the GaeaCoin network. GaeaCoin network residents have different rights according to their status.
The integration with the DEX: OxySwap has pioneered a full range of applications
There is a natural interdependence between exchange and stable currency. The exchange has always been an important part of crypto digital asset market, and it is also the first application place of stable currency. Like Binance with BUSD and Huobi with HUSD, OKEx also launched USDK on June 3, 2019. Traditional CEXs are fiat currencies, where fiat currencies are exchanged for cryptos. If you want to buy crypto digital assets, you need to top up fiat currency, which undoubtedly increases the economic and time costs of investors in the process of exchange. The emergence of a stable currency can not only solve the above problems but also effectively avoid legal risks in the process of the transaction.
As it should be, the integration of GaeaCoin ecology and OxySwap not only lay a solid foundation for stable currency: GAC token application, but also creates opportunities for it to open up more and wider application scenarios.
OxySwap is a decentralized exchange running on the BSC with a collection of DEX liquidity mining, which offers functions of exchange, liquidity, market making, and so on. The strength of OxySwap guarantees the usages of the stable currency: GAC.
GAC will lead a brighter way
GaeaCoin algorithm stable currency: GAC dares to face the challenge, according to the industry news, GAC praises is not only relatively stable from the concept, but also to really put into application. In addition to GAC (GaeaCoin), GaeaCoin ecology also includes GAB (GaeaCoin Bond) and GASH (GaeaCoin Share), which serve to maintain the stability of GAC. GaeaCoin Ecology also integrates GaeaCoin protocol, algorithm, robustness, price response, encryption, and other technologies, superposed with the DeFi ecology of Crypto Credit Network (CCN), OxySwap (DEX), and so on, providing a realistic solution for GAC, and leads it to move towards the real “stability”.
The integration of CCN and OxySwap points out the direction for the application of algorithmic stable currency. In fact, we can already feel the power of the GaeaCoin algorithm stable currency, and once it is used at a large scale, the ideal stable currency is expected to arrive ahead of time. DeFi will also build on this basis, using currency, lending, spot trading, and other components to build continuously upgraded Lego of DeFi.
GaeaCoin’s move directly challenges the world’s centralized stable currency giants such as USDT and USDC, but compared to the previous challenges of AMPL, BAC, and FRAX, this well-prepared challenge looks more anticipated!
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
AccountingOCR.com has launched a new AI-powered OCR platform built for accounting workflows. The software helps firms and finance teams extract structured data from financial documents without relying on templates or manual document setup.
Mississippi, United States, 1st Apr 2026 – AccountingOCR.com recently announced the launch of its AI OCR platform designed to help accounting teams convert financial documents into structured digital data.
The platform was developed for firms and finance departments that regularly work with invoices, receipts, bank statements, tax forms, and other records that often arrive in inconsistent formats. In many accounting environments, processing these documents still involves a mix of manual entry, template-based extraction tools, and fragmented systems for different document types. AccountingOCR.com enters the market with a broader approach focused on handling varied financial records through a single AI-driven workflow.
According to the company, the software reads data from scanned paper documents, digital PDFs, and image-based files without requiring fixed templates or document-by-document configuration. The goal is to make document intake more practical for accounting teams that need to work across changing layouts, multiple clients, and large volumes of records while keeping extracted information usable for spreadsheet review and accounting system imports.
A key part of the platform’s positioning is its focus on accounting use rather than general OCR alone. In addition to extracting text and tables, the software is designed to support early-stage classification of financial data, helping teams organize information in a way that better fits bookkeeping and reporting workflows. This reflects growing demand for tools that do more than capture text and instead help reduce the administrative burden around coding, categorization, and review.
The launch also speaks to a wider shift taking place across the accounting profession. As firms manage rising document volumes and tighter reporting timelines, there is increasing pressure to reduce repetitive processing work without sacrificing structure or control. AccountingOCR.com is aimed at teams looking for a more consistent way to move from raw financial documents to usable data without adding more manual steps to the process.
The company said the platform includes security controls intended for organizations handling sensitive financial information. It states that the software is SOC 2 Type 2 certified, uses encryption for data in transit and at rest, and does not use customer files to train AI models. Documents processed through the system are automatically deleted within 24 hours.
About AccountingOCR.com
AccountingOCR.com is an AI-powered OCR software platform focused on accounting and financial document processing. The company helps firms and finance teams extract structured data from invoices, receipts, statements, tax forms, and other records for use in spreadsheets and downstream accounting workflows.
Media Contact
Organization: AccountingOCR.com
Contact Person: Zoe Russell
Website: https://www.accountingocr.com/
Email: Send Email
State: Mississippi
Country:United States
Release id:43490
The post AccountingOCR.com Releases AI OCR Platform for Accounting Teams appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
ContractExtraction.com has launched a new AI-powered platform designed to extract key terms from contracts and convert them into structured data. The software is intended to help legal, procurement, and operations teams reduce the time spent reviewing agreements manually and improve visibility across large contract portfolios.
United States, 1st Apr 2026 – https://www.contractextraction.com announced the launch of its new contract extraction platform, a software solution developed to help organizations identify and structure important terms from contracts, NDAs, and related agreements through AI.
For many businesses, contract information is available but not easily usable. Important details such as effective dates, renewal terms, payment obligations, notice periods, and party names are often buried in lengthy agreements that must be reviewed one by one. This can create delays not only in legal review, but also in procurement, compliance, and operational planning, especially when organizations are working across large volumes of active and legacy contracts.
ContractExtraction.com was developed to address that challenge by turning contract language into structured output that can be searched, filtered, and analyzed more efficiently. According to the company, the platform is designed to interpret legal phrasing and identify key business terms across a wide range of contract formats without requiring template setup or document-by-document configuration. The software is intended to help teams move more quickly from document review to practical contract visibility.
The company says the platform is particularly relevant in situations where businesses need to review agreements at scale, whether for migration projects, portfolio cleanup, vendor oversight, or renewal tracking. In these settings, the burden often comes from the amount of manual reading required to locate recurring terms across hundreds or thousands of files. ContractExtraction.com is positioning its software as a way to reduce that burden while making contract information easier to use in downstream systems and reporting environments.
The launch reflects broader interest in tools that can support contract operations beyond storage alone. As organizations place greater emphasis on obligation tracking, commercial visibility, and internal controls, there is increasing demand for systems that can help transform static agreements into working data. The company says this is especially relevant for teams that need contract information to support ongoing decisions rather than remain locked inside legal documents.
ContractExtraction.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer files to train AI models, and deletes processed contracts within 24 hours. According to the company, these measures are intended to support organizations that require stronger safeguards when handling sensitive legal and business records.
One user described the impact by saying that a portfolio migration involving more than 2,000 legacy contracts, which would have taken months to review manually, was completed in two days using automated extraction. The company says this reflects growing demand for tools that can help legal and business teams work through contract volume with greater speed and consistency.
About ContractExtraction.com
ContractExtraction.com helps organizations extract key terms and structured data from contracts using AI. The platform is designed to make information from agreements easier to use in spreadsheets, reporting tools, and contract management workflows.
Media Contact
Organization: ContractExtraction.com
Contact Person: Isaac Bell
Website: https://www.contractextraction.com/
Email: Send Email
Country:United States
Release id:43461
The post ContractExtraction.com Launches AI Platform for Extracting Data from Contracts appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
ContractDataExtraction.com has launched a new AI-powered platform designed to convert contracts into structured, spreadsheet-ready data. The software is intended to help legal, procurement, and operations teams work more effectively with contract information that is often difficult to track once it is locked inside static documents.
United States, 1st Apr 2026 – ContractDataExtraction.com recently announced the launch of its new contract analysis platform, a software solution developed to help organizations extract structured data from contracts, agreements, and related records through AI.
The release addresses a common challenge in contract management. While contracts often contain critical information tied to renewal timing, payment obligations, termination rights, liability terms, and operational commitments, much of that information remains embedded in documents that are easy to store but difficult to monitor at scale. In many organizations, this leads to fragmented review processes, limited visibility across contract portfolios, and avoidable risk when key terms are not surfaced in time.
ContractDataExtraction.com was developed to address that gap by converting contract language into structured output that can be searched, filtered, and analyzed more easily. According to the company, the platform is designed to identify key provisions and business terms across a wide range of contract formats without requiring document-specific templates or manual setup. The software is intended to support both newly received contracts and legacy archives that may currently sit in shared folders, inboxes, or document repositories without a practical way to compare them at scale.
The company says the platform is especially relevant for teams that need contract data in a working format rather than a storage format. In legal and procurement environments, the challenge is often not access to contracts themselves, but the time required to locate and organize the information that matters across hundreds or thousands of files. ContractDataExtraction.com is positioning its platform around that operational need, with an emphasis on helping businesses turn agreements into usable datasets that support oversight, compliance, and planning.
The launch also reflects a broader shift in how organizations are approaching contract operations. As companies place greater emphasis on renewal management, vendor governance, and internal controls, there is increasing demand for tools that can surface contractual information without requiring line-by-line manual review for every document. The company says this is particularly important where large contract inventories make traditional tracking methods difficult to sustain.
ContractDataExtraction.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer files to train AI models, and deletes processed contracts within 24 hours. According to the company, these measures are intended to support organizations that require stronger standards around privacy, security, and document handling.
One user described the impact by saying that a contract archive containing thousands of documents could be converted into a searchable spreadsheet within days, allowing the team to identify expiration dates and renewal terms that had previously been difficult to track. The company says this reflects growing demand for tools that can help organizations move from passive contract storage to more active contract visibility.
About ContractDataExtraction.com
https://www.contractdataextraction.com aims to help organizations extract structured data from contracts using AI. The platform is designed to make information from agreements, NDAs, leases, and other contract records easier to use in spreadsheets, reporting tools, and operational workflows.
Media Contact
Organization: ContractDataExtraction.com
Contact Person: Nora Kelly
Website: https://www.contractdataextraction.com/
Email: Send Email
Country:United States
Release id:43460
The post ContractDataExtraction.com Launches AI Tool to Convert Contracts into Structured Data appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
AccountingOCR.com Releases AI OCR Platform for Accounting Teams
ContractExtraction.com Launches AI Platform for Extracting Data from Contracts
ContractDataExtraction.com Launches AI Tool to Convert Contracts into Structured Data
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