Flinks, a financial data connectivity and Open Banking solution provider, has announced a partnership with Trask Solutions. Trask helps data recipients build data-in infrastructure more efficiently, delivering business solutions that fully leverage Open Banking data. Data recipients can use Trask’s Data-In Connector that has been successfully deployed for numerous clients across Europe and that is now fully localized for use in Canada. The solution supports the FDX standard and comes pre-integrated with Flinks. Trask provides assets, accelerators, and platforms that use Open Banking data for digitizing banking products and services such as: online loans, transaction-based loan adjudication mechanisms, online account opening for retail and commercial clients, mortgage process automation, financial management and advisory, investment dashboards and multi-banking. With Trask’s technology stack, European financial institutions have already achieved significant benefits, including: Full rollout of data-in capabilities in just three months; Delivery of new digital banking products in as little as eight months; Loan approval time reduced from days to seconds; Increased the quality of new-to-bank loans to be on-par with the loans to existing clients; Processing cost of invoice factoring lowered to almost zero enabled factoring offerings to SMEs; Doubled conversion rates and increased sales by 30% by offering hyper-personalized offers to both existing and new clients, leveraging Open Banking data sources.
Cardless unveils embedded credit card platform, with Coinbase as first partner; offers a robust suite of APIs, rapid deployment capabilities, and pre-built flows
Cardless announced the launch of its embedded credit card platform, a breakthrough solution designed to help brands build their own credit card programs. Coinbase is the inaugural partner utilizing this infrastructure to build the Coinbase One Card, a premium consumer credit offering for Coinbase loyalty members integrated directly into the Coinbase digital experience. Cardless’ embedded credit card platform empowers brands to launch and manage customizable card programs with full control over the user experience. With a robust suite of APIs, rapid deployment capabilities, and pre-built flows, Cardless simplifies the complexities of card issuance, compliance, customer support, and capital markets. By ingesting customer data to personalize rewards and loyalty features, Cardless helps brands drive stronger engagement and performance—enabling higher application volumes, improved conversion rates, and increased customer retention compared to traditional programs. Coinbase launched the Coinbase One Card waitlist for Coinbase One subscribers, who will be able to earn up to 4% back in bitcoin on every purchase.
StackOne reinvent SaaS and AI agent integrations building real-time enterprise integrations with unrivalled speed, scale and 5x better accuracy
StackOne – the next-gen, AI-powered platform fuelling the future of enterprise AI agents and SaaS integrations – has raised $20 million in a Series A round led by GV (Google Ventures). StackOne is the AI-powered platform supercharging SaaS and AI developers to build real-time enterprise integrations with unrivalled speed, scale and 5x better accuracy. Its AI integrations agent connects complex enterprise APIs in days instead of weeks; freeing product teams to focus on roadmaps and scale without sacrificing security. It automatically builds use-cases on top of even the most complex APIs, connecting AI and SaaS tools to their customers’ entire tech stack in a fraction of the time, and with higher accuracy than even the most precise, leading LLMs. Through the platform, product teams get access to 3,000+ actions on 200+ connectors instantly, from HR to CRM, ticketing, messaging, and IAM. StackOne’s proprietary AI-first, enterprise-ready approach means integrations are secure and up-to-date by default, and all of this frees developers up to focus on core roadmap features and scale without sacrifice. In this way, StackOne represents an entirely new generation of integration platforms. The funding will be used to continue building StackOne’s state-of-the-art tool-calling LLM, invest in R&D, and further expand the number of integrations and depth of actions available in the StackOne platform.
MuleSoft now has features to help organizations control which APIs are made available to agents in the Salesforce ecosystem
MuleSoft is an enterprise integration platform company known for its API-centric connectivity capabilities and its low-code/no-code API lifecycle management services. The company is now extending its core platform and tools to offer an increasing number of agentic AI-facing technologies. Shari Lava, senior director for AI and automation at analyst house IDC said, “MuleSoft now has features to help organizations control which APIs are made available to agents in the Salesforce ecosystem, although that capability is of course narrowed to Salesforce-specific software implementations. In addition, MuleSoft like many integration vendors has been quick to add MCP support and works with Google’s A2A protocol (an agent-to-agent communications layer), demonstrating a responsive focus on solving barriers to AI adoption in the hopes of getting more customers agent-ready.” MuleSoft has now provided support for Model Context Protocol in Beta. A new but already widely lauded technology standard, MCP is an open protocol that enables integration between large language model applications and external data, services and tools. It enables language model and agent-based applications to communicate with each other in a consistent form. With all the focus on agentic connections, MCP provides ways for LLMs to get access to the live data flowing through external systems and their executing actions via a standardized protocol layer. MuleSoft says that because LLMs need access to the API specifications, they must be annotated with metadata that the LLMs can reason with. In other words, the freedom to build custom-aligned API technologies can actually cause incongruent complexity, so MuleSoft MCP Support (Beta) addresses these challenges.
Salt Security launches Model Context Protocol (MCP) Server enabling AI agents to discover, understand, and analyze API behavior with contextual awareness and enterprise-grade precision
Salt Security announced the launch of the Salt Model Context Protocol (MCP) Server, giving enterprise teams a novel access point of interaction with their API infrastructure, leveraging natural language and artificial intelligence (AI). Built on the open MCP standard, Salt’s MCP Server enables AI agents to discover, understand, and analyze API behavior with contextual awareness and enterprise-grade precision. Salt’s MCP server creates a personal ChatGPT experience for our customers with new capabilities: Contextual API Search: Contextual search across their entire API inventory. API Explainer: Explain the use and functionality of each API in your environment so security teams can be more independent. Posture Gap Contextual Search and Analysis: Allow security teams to identify API posture gaps and misconfigurations in a free-form search. Remediation Guidance: Offers AI-driven, actionable recommendations to mitigate high-risk vulnerabilities.
Clearent’s solution enables SaaS providers to embed merchant financing from a capital as a service platform directly into their software ecosystems via a simple API or branded loan widget
Clearent by Xplor has launched Xplor Capital, an embedded financing solution for software providers and their merchants. This is made possible through a strategic partnership with Parafin, a capital as a service platform specializing in capital solutions for small and medium-sized businesses. The extension allows Software-as-a-Service (SaaS) providers to integrate merchant financing capabilities directly into their software ecosystems. With 67% of US small-business owners planning to pursue funding within the next 12 months, 77% are concerned about accessing capital. Xplor Capital allows software providers to offer pre-approved funding options based on sales data, fueling growth and increasing software platform engagement. Key Benefits of Xplor Capital: Frictionless Financing: Merchants receive pre-approved funding offers based on their sales volume, eliminating lengthy applications and credit checks. Embedded Growth Solution: Software providers can integrate Xplor Capital with a simple API or branded loan widget, increasing the value of their software. Increased Revenue: Businesses using financing can see a revenue boost. Predictable Transparent Repayments: Merchants repay their funding through a one-time fixed fee, and automatic deductions from a fixed percentage of sales, with no late fees or hidden interest.
Celonis API allows developers to quickly choose and configure the data collected by its engine about a company’s business processes and make it available to AI applications via a simple interface
Celonis introduced a new version of its platform’s Process Intelligence API. The feature makes the data that Celonis collects about a company’s business processes available to artificial intelligence services. Those services, in turn, can use the data for tasks such as finding opportunities to boost efficiency. According to Celonis, the new version of the API includes a relatively simple interface that allows developers to quickly configure what data should be made available to which AI application. In conjunction with the API update, the company detailed that it has integrated a tool called Emporix Orchestration Engine into its platform. The tool was originally developed last year by a German tech firm called Emporix. It uses the data that Celonis collects about its customers’ internal processes to automate repetitive business tasks. Celonis acquired Orchestration Engine from Emporix as part of the product integration initiative. Two other features, Annotation Builder and Process Copilots, were moved into general availability as part of the platform update. Annotation Builder makes unstructured datasets easier to navigate by adding descriptive tags. Process Copilots, in turn, are chatbots that help workers find business information using natural language prompts. That removes the need to manually sift through internal data repositories. Celonis is rolling out the enhancements alongside four so-called Solution Suites. Those are feature bundles geared towards specific use cases that include integrations with external services, prepackaged automation workflows and other components. The Solution Suites are geared toward supply chain, finance, front office and sustainability professionals.
PrysWys an online farming marketplace embeds supply chain finance from Nedbank
South African agri-tech startup SwiftVEE has partnered with Nedbank Agribusiness to streamline access to agricultural inputs through embedded finance. Farmers using PrysWys, SwiftVEE’s online input marketplace, can now access finance directly from Nedbank through the platform. This move signals a growing shift in South African agriculture, where traditional value chains are being reengineered through tech platforms that connect farmers to finance, suppliers, and better pricing. PrysWys allows farmers to request quotes, compare prices, and purchase essentials like fertiliser, livestock feed, seed, and fuel online. The partnership aims to improve affordability and access, particularly for underbanked farmers, as input costs continue to rise. The partnership aligns with broader efforts to digitize and decarbonise agriculture, reducing transport inefficiencies and streamlining procurement. Farmers who use PrysWys through this new model can expect: Access to wholesale input pricing; Platform-based finance options through Nedbank; National delivery and fulfilment; Support from PrysWys’ procurement team.
Postman looks to streamline API and agentic AI development with Agent Mode that automates API design, testing, documentation, and monitoring through natural language inputs
Postman Inc. is rolling out a suite of AI-driven features aimed at transforming API development. The company’s latest introduction, Agent Mode, automates API design, testing, documentation, and monitoring through natural language inputs. This feature acts as a fully capable execution agent, streamlining development workflows and reducing manual effort. Beyond Agent Mode, Postman is enhancing real-time API observability, enterprise-ready integrations, and support for the Model Context Protocol (MCP), which standardizes the way AI agents interact with third-party tools. Developers will soon have the ability to create their own AI agents and deploy them in their workspaces, improving efficiency in both daily engineering tasks and broader operations. One standout addition is Postman Insights, which provides real-time tracking for API usage, failure patterns, and proactive debugging. The Repo Mode feature further simplifies testing, allowing developers to reproduce API failures for easier troubleshooting. Meanwhile, integration with the Model Context Protocol enables APIs to function as callable agent tools, generate MCP servers, and connect with Postman’s newly launched MCP server network. The company is also introducing workflow integrations designed to accelerate API delivery and shorten development cycles. The integration with GitHub enables real-time collection synchronization and branch-based governance, while Jira supports context-aware issue tracking. Postman is strengthening collaboration among developer teams by linking its platform with Slack and Microsoft Teams.
Postman looks to streamline API and agentic AI development with Agent Mode that automates API design, testing, documentation, and monitoring through natural language inputs
Postman Inc. is rolling out a suite of AI-driven features aimed at transforming API development. The company’s latest introduction, Agent Mode, automates API design, testing, documentation, and monitoring through natural language inputs. This feature acts as a fully capable execution agent, streamlining development workflows and reducing manual effort. Beyond Agent Mode, Postman is enhancing real-time API observability, enterprise-ready integrations, and support for the Model Context Protocol (MCP), which standardizes the way AI agents interact with third-party tools. Developers will soon have the ability to create their own AI agents and deploy them in their workspaces, improving efficiency in both daily engineering tasks and broader operations. One standout addition is Postman Insights, which provides real-time tracking for API usage, failure patterns, and proactive debugging. The Repo Mode feature further simplifies testing, allowing developers to reproduce API failures for easier troubleshooting. Meanwhile, integration with the Model Context Protocol enables APIs to function as callable agent tools, generate MCP servers, and connect with Postman’s newly launched MCP server network. The company is also introducing workflow integrations designed to accelerate API delivery and shorten development cycles. The integration with GitHub enables real-time collection synchronization and branch-based governance, while Jira supports context-aware issue tracking. Postman is strengthening collaboration among developer teams by linking its platform with Slack and Microsoft Teams.