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Top Banking APIs Enabling Access to Aggregated Rich Financial Data

Xignite

Article by Elena Mesropyan

Banking APIs constitute the core of innovative approach to building financial products. Enabling access to data for all relevant participants of the market creates an opportunity for each of them to build a superior offering as well as for consumers to make better choices of financial products.

As the Competition and Markets Authority states in the report on retail banking, APIs “make life simpler for millions of us every day by enabling us to share information, for example, about our location. They are the hidden technological drivers behind digital applications such as Facebook, Google Maps and Uber.”

A variety of banking APIs providers has expanded opportunities for entrepreneurs to build solutions for different segments of the financial services industry:

Financial data aggregators are some of the most interesting elements of financial APIs ecosystem as they drive valuable insights on customers’ financial behavior and enable a data-driven approach to building financial products. Financial data aggregators also comprise the basis of a responsible approach to personal finance management and are in the foundation of consumer-empowering products.

Over the past several years, FinTech innovators have been enriching the banking APIs list with exquisite examples of advanced solutions aimed to empower financial institutions and customers. In fact, the concept of open API approach became one of the centerpieces of innovation in the financial services industry largely because of the companies we will be speaking of further.

Banking APIs are known to enable banking customers – through a single application – to manage accounts held with several providers. They also allow customers to authorize the movement of funds between current and deposit accounts to help avoid overdraft charges or to benefit from higher interest payments. They let customers make simple, safe and reliable price and service quality comparisons tailored to their own usage patterns.

For businesses/institutions, banking APIs allow to monitor a current account and forecast a customer’s cash flow. Using businesses’ transaction history, API providers allow a potential lender to reliably assess business’s creditworthiness and offer better lending deals than they would without this information.

Leading providers of data aggregation APIs:

Kontomatik API

Kontomatik offers a read-only API for financial institutions, enabling them to import personal data, account balances and full statements from any supported bank to their system. To do that, Kontomatik uses end-user bank credentials (a bank login and password). The solution ensures top-notch security as Kontomatik servers store very little data. Bank passwords are never stored and financial data is removed ASAP (financial data is removed from Kontomatik servers in a 24-hour moving window. API clients, however, can force data removal at any time). Kontomatik API requires two-factor authentication based on an API key and IP whitelist.

Kontomatik supports all major banks in ten countries on three continents and is ready to develop APIs for other countries upon request. Kontomatik supports the accessing of personal data of the account owners, current and saving accounts and transaction history from those accounts.

Under the hood, Kontomatik o mimics a human using a Web browser. By using the very same protocol as a Web browser, Kontomatik can potentially support any bank worldwide in a permissionless way. Kontomatik does not need agreements with all the supported banks as it exemplifies permissionless innovation. Kontomatik natively supports hardware tokens, SMS codes, mobile-application-generated one-time passwords, CAPTCHA pictures, anti-phishing pictures and other types of user authentication

Kontomatik is known for speed among competing solutions because the company does not run a farm of headless browsers and does not run any JavaScript as well as not download any assets. Kontomatik reverse engineers how HTTP requests are put together and then recreates them directly in Java with no overhead.

Among the banks supported by Kontomatik technology in various countries are Deutsche Bank, mBank, Raiffeisen Bank, Santander, Citibank, HSBC, BBVA, Scotiabank, Alpha Bank, Lloyds, Barclays, etc. Kontomatik is the fastest-growing banking API provider and has been distinguished by BBVA among the three most interesting examples in the data aggregation APIs segment. Next to this, Kontomatik has been defined as one of the five most useful APIs in the financial world by Huffington Post.

Xignite

Xignite APIs are used by over 40 startups with the clientele including companies such as Betterment, Wealthfront, Personal Capital, Yodlee, Oracle, SAS, Sungard, Charles Schwab, Navy Federal Credit Union, TD Ameritrade, Brinks, GE and Starbucks.

A particular API of the company called the ‘FactSet Fundamentals’ is one of the first REST-based APIs to provide accurate and trusted historical financials, fundamentals, earnings and more across more than 170 global exchanges. FactSet Fundamentals joins more than 40 other APIs for financial services in Xignite’s API library. APIs from Xignite provide back-end data integration, powering a lot of financial service ventures.

Plaid

Plaid gives developers the tools to integrate with bank infrastructure and the ability to access and authorize user bank accounts. Plaid offers two primary products through its APIs that allow users and developers to effortlessly interact with financial institutions: Plaid ACH Auth and Plaid Connect.

Plaid Connect allows developers to dig into the narrative by collecting transactional data from credit, debit, checking, savings and more accounts in a clean, usable format. It intelligently matches the merchant name, category, location and address of each purchase.

Fidor Bank

The Germany-based bank offers a standardized set of RESTful APIs and management systems handled with OAuth for authentication. With Fidor, each user can receive a specific customer ID and associated bank account. Deploying the Fidor API, requests can be made for third party payments or transfers. Single transactions, as well as batch transfers or direct debit withdrawals, can be made using a single API-driven procedure. Web-based requests can be made to retrieve user information such as ID & customer email. The API enables developers to access general account management features.

Fidor combines a full banking license with its own technology and open bank APIs. The fidorOS has been designed to work with an existing core banking system and is expandable beyond traditional banking services. The banking platform is a middleware that provides support for social trading and lending, virtual currencies and emergency loans without being tied to any legacy code.

Figo

Figo Connect API allows to easily access bank accounts including transaction history and submitting payments. Bank accounts are the central domain object of this API and the main anchor point for many of the other resources. This API does not only consider classical bank accounts as accounts but also alternative banking services, e.g. credit cards or PayPal. The API does not distinguish between these two in most cases.

Figo Connect is a completely RESTful API and aims to follow as many best practices as possible. The API and its online tools are only available via HTTPS. In addition, its SDKs employ certificate pinning to validate the certificate of the API server to extend beyond the SSL trust chain.

Yodlee

Yodlee Interactive, a division of Yodlee, builds APIs to help customers bring innovative FinApps to market more quickly using rich consumer transactional data. It primarily offers the following two APIs: Instant Account Verification API and Aggregation API, which enables developers to get access to randomized and securitized bank data through the ability to aggregate accounts, whether it’s an investment account, a bank account, a credit card account, a rewards account, an insurance account or some other account.

Besides the above two, the company has launched an Enterprise API, custom-built and co-branded for individual financial institutions. Yodlee’s API also allows geolocation information to be added to financial data. Yodlee developers launched a new set of restful APIs called “FastLink” that helps a user link multiple bank accounts and cards in one place with an easy drag and drop feature at the back-end.

Pich

Pich is banking and financial data provider. The company organizes, collects and aggregates this data for businesses and developers so that they can use it in their services. With the help of Pich’s API, the user can quickly integrate to the banking infrastructure and benefit from the reliable data of these financial institutions.

Pick Link API allows aggregating user-mandated data from accounts across multiple financial institutions. The Pich API provides business and developers with reliable, clean, and enriched transaction data in a machine-readable format. Pich maintains a dormant connection that becomes active the next time the user accesses the application, providing them with the most up-to-date information associated with the account.

Instantor

Instantor provides online identification and financial data reports based on real-time technology, giving insight to customer’s financial situation (i.e. salary level, spending habits, payday loans, other credits and gambling, etc.) over the last 12 months. This is done through a connection to the bank in which the customer is a client.

Open Bank Project

The Open Bank Project is an open-source API and app store for banks that empower financial institutions to securely and rapidly enhance their digital offerings using an ecosystem of third-party applications and services.

The Open Bank Project offers an easy-to-use RESTful JSON API that can be connected in minutes to enable integration of bank account information via REST API and use of secure authentication via OAuth implementation. The Open Bank Project exposes transaction data in a simple and consistent structure by abstracting away the peculiarities of each banking system. This is achieved by “connectors” that interface between the OBP API and each core banking system. This enables application developers to write an app once, and use it for many banks.

The Open Bank Project API supports transparency services via multiple configurable views on transaction data so that, for instance, the public may see most details of an NGO’s transactions whilst still preserving privacy where required. It also supports transaction data enrichment: comments, tags and images may be added to transactions by authorized users, creating a dialogue around the data.

Spectre API by Salt Edge

Salt Edge provides account data aggregation, automatic categorization, customer-oriented money management, screen scraping software, omnichannel banking solutions with client analysis and targeted marketing.

Spectre API by Salt Edge is designed both for startups and innovative enterprises who need permission-based access and bank-level security to access their customers’ multiple account types including checking, savings, credit cards, e-wallets, money-market accounts, prepaid cards, investments, insurance, loans and mortgages.

This list of banking APIs providers offering data aggregation tools is certainly not exhaustive, but it does outline some of the most influential players. Among the mentioned companies, Kontomatik can be distinguished as one of the most adopted and fastest-growing banking technology providers with superior solutions in its arsenal.

Source: Let's Talk Payments

RECENT NEWS

Read the article on A-Team Insight Blog

By Mike O’Hara, Special Correspondent

Cloud-delivered market data was once ‘over my dead body’ territory for institutional market data managers, who understandably fretted aloud about performance, security and licence compliance issues. But Covid-19 has forced those same data managers to confront the fact that many of their professional market data users are able to work from home (WFH), in turn driving financial firms to question whether the pandemic could be the catalyst for a rethink of their expensive-to-maintain market data infrastructures, with cloud part of the data delivery solution.

For many financial firms, today’s cloud delivery and hosting capabilities offer a viable solution for supporting trading and investment teams and their support staff, accelerating demand for cloud-based market data delivery infrastructures. The thinking is that cloud may help firms with their broader aim of reducing their on-premises technology and equipment footprint, a trend that was emerging even before the Coronavirus struck.

But embracing cloud delivery introduces new challenges for market data and trading technology professionals. While WFH will doubtless continue in some form, it’s far from clear that all market data delivery can be migrated to the cloud. Essential market data functions will remain on-premise. High-performance trading applications and low-latency market data connectivity, for example, will continue to rely on state-of-the-art colocation and proximity hosting data centres.

For many financial institutions, the challenge will be how to manage these several tiers of market data delivery and consumption. Going forward, practitioners will face a three-way hybrid of on-premises, cloud-based (private/public) and collocated market data services in order to support a range of users: from work-from-home traders and support staff to trading-room-based traders, analysts and quants, to collocated electronic applications like algorithms, smart order routers and FIX engines.

Indeed, A-Team will be discussing the infrastructure, connectivity and market data delivery challenges associated with cloud adoption in a webinar panel session on November 3. The webinar will offer a ‘reality check’ that discusses best practices for embracing cloud, colo and on-prem to support this new mix of user types, with emphasis on capacity, orchestration, licensing, entitlements and system / usage monitoring.

With firms’ appetite for exploring the potential of the cloud piqued, data managers are now looking at whether they can hope to take advantage of some of the more widely recognised benefits of the cloud – flexibility, agility, speed-to-market, scalability, elasticity, interoperability and so on – as they grapple with the future market data delivery landscape.

“Market data infrastructure, in terms of data vendor contracts, servers, and data centre space, typically represents a large, lumpy, cap ex expenditure”, says independent consultant Nick Morrison. “And so having the ability to transition that to something with costs that are more elastic, is highly attractive”.

Of course, every firm has its own unique requirements and nuances in this regard. Proprietary trading firms, asset managers, hedge funds, brokers and investment banks are all heavy consumers of market data. But the volume, breadth, depth and speed of the data they need in order to operate is highly diverse. Which means that there is no ‘one size fits all’ when it comes to sourcing and distribution mechanisms (including the cloud).

Market data and the cloud – what’s applicable?

As they consider their options for including cloud in their overall data delivery plans, data managers need to assess whether and how specific data types could be migrated to a hybrid environment: Level 1 (best bid/offer), level 2 (order book with aggregated depth at each price level) or level 3 (full order book)? Historic, end of day, delayed or real-time? Streaming or on-demand? This all has a bearing on the feasibility of cloud as a delivery mechanism.

Firms also need to consider their mix of public and private cloud, or what mix or hybrid cloud solution best fits their needs. What about virtualisation? Or internal use of cloud architecture, such as building a market data infrastructure around microservices and containers?

The marketplace already has identified at least one workable use-case: the use of historical, tick or time-series market data, usually to drive some form of analytics. A growing number of trading venues (such as ICE and CME) and service providers (Refinitiv, BMLL and others) now offer full level 3 tick data on a T+1 basis, delivered via the cloud. Plenty more providers can offer historic level 1 & 2 data.

This kind of capability can be used for critical use-cases, such as back-testing trading models for signal generation and alpha capture, performing transaction cost analysis (TCA), developing and testing smart order routers (SORs), or fine-tuning trading algos to better source liquidity. In all of these cases, cloud-hosted historical tick databases can reduce on-premises footprint and cost, while offering flexible access to vast computing resource on demand, and many are finding this compelling. “When churning through such vast quantities of data, having access to a cloud environment enables you to scale up horizontally to process that data”, says Elliot Banks, Chief Product Officer at BMLL.

Where things start to get more complicated, though, is with real-time market data, where two of the biggest hurdles from a cloud delivery perspective are speed and complexity.

Deterministic speed

From a trading standpoint, speed is always going to be a significant factor. Nobody, regardless of whether they’re an ultra-low latency high-frequency trading firm or a human trader dealing from a vendor or broker screen, wants to trade on stale prices. The tolerances may be different but the principle applies across the board.

It’s a safe bet that any firm currently receiving market data directly from a trading venue into a trading server (collocated at the venue’s data centre or hosted at a specialized proximity hosting centre operated by the likes of Interxion) relies on deterministic low latency, and is therefore unlikely to consider cloud as an alternative delivery mechanism.

Clearly, HFT firms with trading platforms that require microsecond-level data delivery won’t be replacing their direct exchange feeds and often hardware-accelerated infrastructure with the cloud, as the performance just isn’t there, for now at least. This, of course, could change if and when the trading venues themselves migrate to cloud platforms, creating a new kind of colocation environment, but that’s likely some way off. “But these guys only have a few applications that really need ultra-low latency data”, says Bill Fenick, VP Enterprise at Interxion. “Most of their applications, be they middle office, settlements or risk, they’re perfectly happy to take low-millisecond latency”.

And what about other market participants? Particularly those that currently make use of consolidated feeds from market data vendors, where speed is perhaps a secondary consideration? This is where cloud delivery may have some real potential. But it’s also where the issue of complexity rears its head.

Navigating the complexity

To deal with the myriad of sources, delivery frequencies, formats and vendor connections used to feed real-time market data into their trading, risk, pricing and analytics systems, many financial firms have built up a complex mesh of infrastructure that ensures the right data gets delivered to the right place at the right time. The integration layer required to handle these data inputs may be delivered as part of the data service or may stand alone as a discrete entity. In either case, it’s unrealistic to expect that all of this infrastructure can just be stripped out and replicated in a cloud environment.

To address this challenge, some service providers are starting to offer solutions where the source of the data is decoupled from the distribution mechanism, aiming for the holy grail where either, or both, can be cloud-based.

By building individual cloud-hosted microservices for sourcing market data, processing that data in a variety of ways, and delivering it into end-user applications, such solutions can help firms migrate their market data infrastructure incrementally from legacy to cloud-based platforms. Refinitiv is starting to shift much of its infrastructure onto AWS, and other specialist cloud-centric vendors such as Xignite and BCC Group also enable internal systems to be decoupled from data sources, thus facilitating a shift towards cloud-based infrastructure. “We believe the customer should be able to easily move from source to source and get as many sources as they want. The cloud enables this kind of flexibility”, says Bill Bierds, President & Chief Business Development Officer at BCC Group.

Firms have long wanted to become more vendor-agnostic by decoupling their data integration capability from the primary data source. One investment bank in London, for example, was able to decouple Refinitiv’s TREP platform from its Elektron data feed and switch to Bloomberg’s B-Pipe for its data, delivered via the TREP framework. From a market data perspective, this has given the bank more negotiating power and less vendor lock-in, opening up greater opportunities to utilise cloud-based market data sources in the future.

Permissioning and entitlements

Perhaps one of the toughest challenges that firms face around real-time market data on the cloud is that of entitlements and usage authorisation. Firms sourcing data from the two main data vendors, Refinitiv and Bloomberg, will generally be tied into their respective DACS and EMRS entitlements systems, often augmented by data inventory and contract management platforms like MDSL’s MDM or TRG Screen’s FITS and InfoMatch.

Entitlements can be a thorny subject when it comes to cloud-based distribution of market data. Firms are wary of falling foul of their licence agreements with their various data vendors, all of whom have different commercial considerations and penalties for non-compliance. This is why accurate tracking and reporting of market data access and usage is crucial.

The cloud can be a double-edged sword in this regard. One the one hand, transitioning from a dedicated infrastructure to the cloud might trigger extra licensing costs for what is effectively an additional data centre, so they may need to go through a period of paying twice for the same data. Indeed, firms may already be facing this situation as they entitle staff to operate from home while holding enterprise licences covering only their headquarters and regional offices.

On the other hand, cloud-based services such as those offered by Xignite and others can make it easier for firms to manage entitlements across multiple data vendors from a central source via a UI. “Our entitlements microservice is integrated with our real time microservice, to make sure that any distribution and any consumption of data is authenticated and entitled properly, so that only the right users have access to the data,” says Stephane Dubois, CEO of Xignite, whose microservices suite is supporting NICE Actimize’s cloud-based market data delivery infrastructure.

Where next?

With new products, services and technologies emerging all the time, firms can be optimistic about the growing opportunities that the cloud can offer for managing market data. One particularly interesting development worth watching is the rise of Low Code Application Platforms (LCAPs), such as that offered by Genesis, which provides a cloud-based microservices framework that can be used for rapidly developing and delivering applications around real-time market data. One example is on-demand margining. “A prime broker can link to all of its customers and know exactly what their risk positions are based on real-time market data, so within minutes, they can be sending out margin calls”, says Felipe Oliviera, Head of Sales and Marketing at Genesis.

Industry behemoths such as Refinitiv, SIX and FactSet are also embracing the cloud. Refinitiv has now launched delivery of market data via AWS, is making its tick history data available on Google Cloud and has also recently announced a partnership with Microsoft Azure. FactSet has launched a cloud-based ticker plant on Amazon EC2. And SIX is partnering with Xignite for real-time market data delivery via the cloud. Bloomberg is also partnering with AWS to make its B-Pipe data feed available through the cloud. And the main cloud vendors themselves – Amazon, Google and Microsoft – have established dedicated teams to develop these markets

In conclusion, it’s clear that there are a number of challenges that firms still face when transitioning any part of their market data infrastructure to the cloud. (To register for A-Team’s free webinar on the topic, click here.) And in many cases, particularly where ultra-low latency is required, cloud is not the answer. But equally, by migrating certain elements of their market data infrastructure to the cloud, cost savings can be achieved, efficiencies can be gained and firms can potentially do more with less.

10/21/2020

Xignite, Inc., a provider of market data distribution and management solutions for financial services and technology companies, today announced it won the Best Real-Time Market Data Initiative at the Inside Market Data & Inside Reference Data Awards.

A longtime leader in the market data cloud space, Xignite provides financial data through its innovative cloud APIs, which are developer-friendly, reliable and endlessly scalable. Xignite data is normalized and ready-to-use, eliminating common pain points with legacy providers, while maintaining global coverage and institutional quality.

This award recognized Xignite’s work with SoFi, a leading digital personal finance company. In 2019, SoFi launched SoFi Invest, a free consumer investing service, and enlisted Xignite to power the entire platform, from its robo-advisor capabilities, to financial newsfeed, to real-time market alerts and curated stock list. SoFi has identified a number of ways in which these key features are driving member engagement – for example, 10% of users who receive a market alert make a trade within an hour. For more details on this collaboration, download the case study HERE.

“We are honored to be recognized for Best Real-Time Market Data Initiative. Xignite was the first to bring market data to the cloud, and we have continued to innovate and point the way to the future of this unique subset of the industry,” said Stephane Dubois, CEO and Founder of Xignite. “The SoFi collaboration is a great example of how a firm can leverage our diverse range of APIs to build an all-encompassing platform and scale it rapidly. As we look to the future, we will continue to serve our clients through transformative offerings, including our suite of Xiginite Enterprise Microservices, which we announced in July.”

The Inside Market Data & Inside Reference Data Awards are held by WatersTechnology and recognize industry excellence within market data, reference data and enterprise data management. The award ceremony took place during the publication’s Innovation Exchange held virtually from September 9 to September 22.

This is the latest honor in what has been a fruitful year for Xignite on the awards circuit. In the spring, the firm was named an SIIA CODiE Awards finalist and included on the WealthTech 100 list.

About Xignite
Xignite has been disrupting the financial and market data industry from its Silicon Valley headquarters since 2006 when it introduced the first commercial REST API. Since then, Xignite has been continually refining its technology to help fintech and financial institutions get the most value from their data. Today, more than 700 clients access over 500 cloud-native APIs and leverage a suite of specialized microservices to build efficient and cost-effective enterprise data management solutions. Visit http://www.xignite.com or follow on Twitter @xignite

About the Inside Market Data and Inside Reference Data Awards
The annual Inside Market Data and Inside Reference Data Awards, now in their 17th year, play a key role in WatersTechnology’s awards program, and are the only awards that feature a mix of call-for-entry categories determined by a panel of judges and categories compiled by WatersTechnology’s journalists and voted on by the brand’s readership. This year’s awards featured 32 categories in total: 21 call-for-entry categories, 10 journalist-compiled categories, and a hall of fame (lifetime achievement) award.

09/23/2020

Over time, the market has come to embrace cloud in more and more aspects of trading technology. Processing large sets of data and calculation of computationally intense formulas (or both) are common uses of cloud. While the market may not be quite ready to move every part of the trading cycle to the cloud, market data is becoming more and more mainstream. 

Market Data + Cloud Solutions

In fact, somewhat ironically, market data is very fertile “ground” for cloud offerings. Not only are third-party cloud providers continuing to enhance their market data offerings (i.e., Bloomberg,[1] Refinitiv,[2] Xignite[3]), but exchanges are also offering access to data directly via their own cloud services or innovation partners (e.g., CBOE,[4] IEX,[5] Nasdaq[6]). In a post-COVID-19 world, cloud has only become more entrenched in the trading lifecycle across both buy-side and sell-side firms. Even looking back to views from 2019, the growing importance of cloud servicing market data needs is clear.

In fact, almost three-quarters of respondents in our 2019 Market Data Study[7] identified innovation in market data as highly important, with cloud seen as the second most impactful innovation (trailing only slightly behind artificial intelligence). 


Read entire blog post by Shane Swanson, Senior Analyst, Market Structure and Technology at Greenwich Associates.

09/22/2020

Xignite, Inc., a provider of market data distribution and management solutions for financial services and technology companies, announced today that it recently enhanced its Bond Master API. Xignite offers several APIs that provide real-time, delayed, historical fixed income pricing and reference data for corporate and agency debt bonds. The Bond Master API enhancement increases the coverage from the United States to 190+ countries, adds additional bond types to support more than 2 million active bond issues, and increases the ease of use of the API with several new endpoints.

Unlike legacy fixed-income data solutions, Xignite’s Bond Master API is cloud-native and offers a robust selection of use-case-based endpoints. Developers can easily integrate these endpoints into their product or app, regardless of type, amount, or frequency of data, without the need for any complex integration logic. Unlike file-based data delivery solutions, the Bond Master API makes on-demand integration into downstream security master or compliance systems frictionless.

Additional detail on the enhanced Bond Master endpoints:

  • The List endpoint for bond type, issuer type, and domicile enables clients to slice and dice the bond universe differently based on use-case.
  • The ScreenBonds endpoint enables clients to dynamically and easily screen the bond universe by combining criteria based on the coupon rate, maturity date, callability, and issue convertibility.
  • The ListBondDataPoints and GetBondDataPoints endpoints enable clients to more easily pick and choose the reference data points they need to integrate into their systems.
  • The GetBondDataPoints endpoint enables access to additional reference data points without requiring changes to an existing implementation.

“Because much of the benefits of a reference data service derives from its breadth, depth and quality of coverage, these enhancements give you the added peace of mind that comes from knowing your holdings are validated against a complete universe,” said Vijay Choudhary, Vice President, Product Management, Market Data Solutions at Xignite. “These enhancements eliminate the need to maintain an on-site bond security master, which ultimately saves our clients time and eliminates significant unnecessary expenses.”

Additional bond issuer types now include: Government Agency, Government Controlled Company, State Government, Supranational

Additional new bond types now include: Bankers Acceptance, Capital Securities, Cash Management Bill, Certificate, Certificate of Deposit, Commercial Paper, Covered Bond, Debenture, Depository Receipt, Discount Notes, Loan Note, Loan Stock, Medium Term Notes, Note, Permanent Interest Bearing Shares, Preferential Security, Preferred Security, Reference Bills, Structured Product, Strip Package, Treasury Bill

Additional reference data points are also now available for all bond types:

  • Issue instrument identifiers (CUSIP, ISIN, Symbol, etc.)
  • Bond Issuer details including issuer name, domicile, unique company identifier, issuer status, industry and sector
  • Bond Issue details including maturity, coupon, coupon type, par value, dated date, distribution and amortization details, day count convention, original issue details, liquidation right, callable, convertible, guarantor, redemption, and other issue details

This is just the latest example of Xignite’s ability to innovate. Earlier this year, the firm unveiled its suite of market data management microservices and also received a patent for its market alerts technology.

About Xignite

Xignite has been disrupting the financial and market data industry from its Silicon Valley headquarters since 2006 when it introduced the first commercial REST API. Since then, Xignite has been continually refining its technology to help fintech and financial institutions get the most value from their data. Today, more than 700 clients access over 500 cloud-native APIs and leverage a suite of specialized microservices to build efficient and cost-effective enterprise data management solutions. Visit http://www.xignite.com or follow on Twitter @xignite

09/16/2020