Fast, scalable analytics for every asset class—delivered in a single API
NxCore Analytics Services (NAS) is a robust, cloud-hosted analytics API that delivers deterministic, high-performance pricing and risk analytics across every major asset class. Proven in production for over six years and managed by Numerix’s expert team, NAS gives capital-markets and insurance firms scalable, auditable analytics that produce the same trusted numbers on every desk.
NAS offers seamless access to Numerix’s market-leading analytics libraries through a high-level, financial-language API — expressed in instruments, curves, and sensitivities that both people and AI tools read natively. Numerix handles the complexities of model calibration and pricing policy, so teams can put powerful valuation and risk analytics to work from day one and focus on their core business, integrating cleanly into existing systems without a bespoke interface.
Its cloud-native architecture handles large portfolios and high-volume calculations while holding top-tier performance as demand grows — auto-scaling for overnight batch or sub-second interactive use. The result is lower operational cost, no infrastructure burden, and confident, reproducible decision-making in fast-moving markets.
Built for the age of AI
Give AI a calculation layer you can trust
AI is inherently probabilistic, while pricing and risk must be deterministic, repeatable, and auditable. NAS resolves that tension by giving AI applications a reproducible calculation foundation to build on. It speaks the language of trading and risk — instruments, curves, and sensitivities — with LLMs.txt documentation and an OpenAPI schema that let AI agents and developers consume it directly, and a Model Context Protocol (MCP) server that lets agents price instruments in natural language and get back deterministic, auditable results. Built-in agent identity, audit trails, and permission scoping mean every AI-driven calculation is controlled, logged, and reproducible — so firms can put AI in the hands of traders, portfolio managers, and risk teams and be confident the numbers are right, and prove it.
Key features
Market-standard pricing and risk, in one intuitive API
NAS offers a straightforward interface to Numerix’s extensive analytics libraries across all asset classes, delivering precise, best-of-breed pricing and risk analytics for smooth integration into existing systems and workflows, ensuring comprehensive coverage and reliable, timely insights.
Scalable, efficient, and transparent
NAS’s cloud-based architecture enables efficient management of large portfolios and high-volume calculations, ensuring consistent performance as demands increase. It lowers operational costs through resource consolidation, provides flexibility with dynamic resource allocation, and eliminates the burden of infrastructure management, offering users a solution that scales with their needs. Changes are carefully managed within a robust CICD process, with pervasive automation and testing, and a preview environment that’s updated weekly to provide transparency into upcoming improvements
Streamlined pricing and risk analytics with built-in market and reference data
NAS comes with built-in reference and market data, out-of-the-box configurability, and configurable defaults with local overrides — or bring your own data, with tri-party Bloomberg and Refinitiv arrangements supported. By managing model calibration and pricing policy for you, NAS keeps calculations aligned with current market practice and gives immediate access to powerful analytics without complex setup.
Reliable, secure, and governed by design
NAS is SOC 2 Type 2-certified, with stable APIs, end-to-end encryption in transit and at rest, zero-downtime upgrades, and a 99.9%+ uptime SLA. A governance layer with agent identity, audit trails, and permission scoping is built in, so access to analytics — including by AI agents — is controlled, logged, and fully accountable across the firm
Numerix named a leader
In the 2024 Chartis Research RiskTech Quadrant® for Pricing and Valuation Systems, 2024 – Integrated Pricing and Risk Management
Capital markets awards that speak for themselves
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FAQs
Q1: What is NxCore Analytics Services (NAS)?
NxCore Analytics Services (NAS) is a cloud-hosted analytics API from Numerix that delivers deterministic, auditable pricing and risk analytics across every major asset class. It gives capital-markets and insurance firms scalable analytics that produce the same trusted numbers on every desk, and has been proven in production for over six years.
Q2: What makes NAS "deterministic," and why does it matter for AI?
NAS is deterministic because it produces the same result every time a given calculation is run, making its numbers reproducible and auditable. This matters because AI is inherently probabilistic while pricing and risk must be repeatable and defensible — so NAS gives AI applications a trustworthy calculation layer to build on, and firms can prove the numbers are right.
Q3: How does NAS work with AI agents?
NAS exposes a financial-language API that AI agents read natively, with LLMs.txt documentation and an OpenAPI schema, plus a Model Context Protocol (MCP) server that lets agents price instruments in natural language and get back deterministic, auditable results. Built-in agent identity, audit trails, and permission scoping keep every AI-driven calculation controlled, logged, and reproducible.
Q4: Is NAS secure and certified?
Yes. NAS is SOC 2 Type 2-certified, with end-to-end encryption in transit and at rest, stable APIs, zero-downtime upgrades, and a 99.9%+ uptime SLA. A governance layer with agent identity, audit trails, and permission scoping controls and logs all access to analytics, including by AI agents.
Q5: Do I need quants or financial-engineering expertise to use NAS?
No. NAS offers a high-level, financial-language API that lets teams — including non-quants — build and integrate pricing and risk analytics with minimal configuration. Numerix handles model calibration and pricing policy behind the scenes, and comes with built-in market and reference data so teams can start from day one.