The SiliconExpert API: What Engineers Need to Know in 2026
Zenode.ai
If you've ever had a compliance team ask whether your BOM contains conflict minerals, or a program manager demand to know which parts are at risk of going obsolete next year, you understand the problem SiliconExpert was built to solve.
These aren't hypothetical concerns. An automotive ECU might need a 15-year component supply guarantee. A defense contractor might need documented RoHS and REACH compliance for every part in their assembly. A medical device manufacturer might need to prove that no conflict minerals exist in their supply chain. Manual tracking across thousands of parts and dozens of regulations isn't just tedious — it's untenable.
SiliconExpert is the industry's standard answer to this problem. Their API puts lifecycle intelligence, compliance data, and obsolescence forecasting directly into PLM, ERP, and design systems. If you're evaluating it for your organization, here's what you actually need to know.
How SiliconExpert Got Here
SiliconExpert Technologies has been operating since 2000, focused exclusively on electronic component data and lifecycle management. In 2012, Arrow Electronics acquired the company, embedding it within one of the world's largest electronics distributors.
That ownership matters. Arrow moves roughly $30 billion in electronic components annually, giving SiliconExpert access to supply chain intelligence that independent data providers can't match. When SiliconExpert reports lifecycle status or forecasts obsolescence, it's drawing on data from a distributor that sees a significant portion of global component transactions.
More recently, SiliconExpert has been integrated into Altium's ecosystem, providing lifecycle and compliance data directly within Altium Designer and Altium 365. This gives designers access to risk information without leaving their EDA environment — useful if you're in that ecosystem, irrelevant if you're not.
The result is a platform that sits at the intersection of distribution intelligence (Arrow), design tooling (Altium), and two decades of component lifecycle data. That's a genuinely difficult position to replicate.
What You Actually Get
SiliconExpert's database covers over 250 million parts from more than 12,000 suppliers. That's not just active parts — it includes discontinued, EOL, and NRND (Not Recommended for New Designs) components, which matters because knowing what's dead is as valuable as knowing what's alive.
The data breaks into several domains, but the two that matter most through the API are lifecycle intelligence and compliance management.
Lifecycle intelligence goes beyond a simple active/obsolete flag. SiliconExpert tracks the full lifecycle status of every part — active, NRND, last time buy, discontinued, obsolete — and augments that with predictive data. The headline metric is YTEOL: Years to End of Life. Rather than just telling you a part is currently active, YTEOL estimates how many years remain before the manufacturer is likely to discontinue it. The problem with this metric is it is wrong as often as it is right. There is no reliable way to measure, so SiliconExpert here provides peace of mind that cannot be reliably delivered.
Compliance management covers the regulatory landscape: RoHS, REACH, SCIP, Conflict Minerals, California Proposition 65, and over 100 additional regulations. The API returns material declarations in standard IPC format, chemical makeup data, RoHS statements, and conflict mineral documentation. For organizations shipping into the EU, this data isn't nice-to-have — it's legally required.
Beyond these core domains, the API also exposes PCN (Product Change Notification) history, counterfeit risk scoring, cross-reference data, and parametric specifications. You can retrieve a comprehensive risk profile for any part in a single call.
How the API Works
SiliconExpert supports both SOAP and REST protocols, returning data as JSON or XML. The SOAP interface exposes the older Global Update and Web-Search services, while the REST endpoint handles search and retrieval. Most new integrations use REST.
Authentication is session-based. You POST your credentials (login and API key) to the authentication endpoint, receive a session token, and include that token in subsequent requests. It's straightforward, though not as modern as OAuth2 flows used by newer APIs.
The data model uses a per-part quota rather than a rate-limit-per-request approach. When you query a specific part, your quota decrements by one — but that single query returns everything SiliconExpert has on that part: lifecycle, compliance, risk, parametrics, cross-references. You're not paying per data type; you're paying per part looked up. For BOM analysis workflows where you need the full picture on each component, this model is actually efficient.
The typical integration pattern looks like this: your PLM or ERP system exports a BOM, a middleware layer iterates through the part list and queries SiliconExpert for each MPN, the results populate risk dashboards or trigger alerts based on thresholds you define. Part at YTEOL under 3 years? Flag it. Missing RoHS declaration? Escalate to compliance. Counterfeit risk score above threshold? Route to quality engineering.
The Pricing Reality
SiliconExpert does not publish pricing, but many small-to-midsized customers report paying around $100k annually. You contact their API team, describe your data needs, and receive a custom quote. Subscriptions are typically annual.
The API is available in two data packages. The Silver package provides static lifecycle data — current status, basic compliance, parametric specs. The Gold package adds dynamic and derived intelligence, including YTEOL estimates, counterfeit risk scores, and predictive analytics. If YTEOL is the reason you're evaluating SiliconExpert, you need Gold.
There's no free tier. No sandbox environment with limited access. No self-serve sign-up. This is enterprise software sold through enterprise sales channels. If you want to evaluate the API, you go through a sales process.
For large organizations with compliance budgets and thousands of parts to monitor, the enterprise model works. The data is specialized enough to justify the cost, and the alternative — manual compliance tracking — is far more expensive.
For smaller teams, startups, or individual engineers who want to check lifecycle status on a handful of parts, SiliconExpert's go-to-market model is effectively a closed door. You can't spend $50 to run a few BOM checks. The product isn't designed for that use case.
Why YTEOL Matters
Lifecycle status tells you where a part stands today. YTEOL tells you where it's heading.
Consider an automotive ECU going into production. The vehicle platform will be manufactured for 7 years, with a 10-year service parts obligation. That's a 17-year window where every component on the BOM needs to remain available — or an alternative needs to be qualified, validated, and approved.
A part with an "Active" lifecycle status might seem safe. But if SiliconExpert's models estimate a YTEOL of 4 years, that part becomes a planning problem. The engineering team needs to identify and qualify an alternative now, while the current part is still available for validation testing, rather than scrambling when the manufacturer issues a last-time-buy notice.
YTEOL isn't a guarantee — it's a probabilistic estimate based on manufacturer patterns, technology trends, demand signals, and historical data. But even imperfect forecasting is dramatically more useful than no forecasting. The organizations that handle obsolescence well are the ones that see it coming years in advance. YTEOL is the primary tool for that visibility.
This is where SiliconExpert's Arrow Electronics parentage pays off. The lifecycle models are informed by real transaction data from a major distributor, not just public announcements and manufacturer datasheets. That data advantage is hard to replicate.
Where SiliconExpert Excels
The platform's strengths cluster around specific use cases where it's genuinely the best available tool.
Regulated industry compliance is the clearest win. If you're shipping products into the EU and need REACH and RoHS documentation for every component, or if UFLPA requires you to trace conflict minerals through your supply chain, SiliconExpert's compliance management infrastructure is comprehensive. Over 100 regulations tracked, automated alerts when status changes, material declarations in standard formats. Building this yourself would take years.
Long-lifecycle product management is the other sweet spot. Aerospace programs measured in decades, automotive platforms with 15+ year horizons, industrial equipment with 20-year field support commitments. YTEOL and proactive obsolescence management are worth real money in these contexts, because the cost of an unplanned component substitution late in a program far exceeds the cost of the data subscription.
Counterfeit risk assessment is increasingly relevant. SiliconExpert's counterfeit risk algorithm analyzes factors including previous counterfeit activity for the manufacturer, historical supply chain shortages, lifecycle history, and price discrepancies. For defense and aerospace applications where counterfeit parts have caused documented failures, this scoring provides an additional layer of supply chain due diligence.
Enterprise PLM/ERP integration is well-supported. SiliconExpert connects to Arena, Windchill, Teamcenter, SAP, and other enterprise systems. The data flows into the tools where engineering and compliance teams already work, rather than requiring them to adopt a separate interface.
What's Missing
SiliconExpert is a risk management and compliance platform. Understanding what it isn't helps set expectations correctly.
There is no component discovery capability. SiliconExpert can tell you the lifecycle status, compliance profile, and counterfeit risk for a part you already know about. It cannot help you find the right part for a new design. The search functionality is parametric — filter by specs, see what matches — but there's no intelligence in the selection process. No understanding of engineering intent, no ranked recommendations, no "here's what would work for your application."
There is no AI-powered search. You query by part number, manufacturer, or parametric filters. Natural language queries like "low-noise op-amps for precision measurement under $1" aren't part of the vocabulary. The system returns data about parts; it doesn't help you think about parts.
The cross-reference capability, while present, is oriented around obsolescence management — finding replacements when a part goes EOL — and conflict-based issues, such as when sanctions are imposed or wars break out. However, it's not a general-purpose alternatives engine for cost reduction, second-sourcing, or design optimization. It does not provide deep answers to "what's the best option for my application?"
And the API, while functional, reflects its age. SOAP support alongside REST, cookie-based authentication, XML response options — these are artifacts of an API built for enterprise IT departments in the 2010s, not for developers building modern integrations. It works, but it's not what a team building a modern application expects from a data service in 2026.
Who Should Use It
SiliconExpert makes sense when lifecycle risk and regulatory compliance are core requirements — not nice-to-haves.
Automotive OEMs and Tier 1 suppliers dealing with 15+ year component availability requirements. YTEOL and proactive obsolescence management are directly tied to program risk.
Aerospace and defense contractors with GIDEP reporting requirements, counterfeit part concerns, and programs measured in decades. The compliance and risk infrastructure is designed for this environment.
Medical device manufacturers navigating RoHS, REACH, and other environmental regulations while managing long product lifecycles and strict change control processes.
Any organization with a dedicated compliance function responsible for regulatory documentation across large BOMs. If you have someone whose job is tracking component compliance, SiliconExpert is likely already on their radar.
When to Look Elsewhere
SiliconExpert isn't the right tool for every component data need.
If your primary challenge is finding the right component for a new design — understanding options, evaluating tradeoffs, discovering parts you didn't know existed — SiliconExpert doesn't solve that problem. It manages risk for parts you've already selected. The discovery phase requires different tooling.
If you need multi-distributor pricing and availability, SiliconExpert isn't a procurement data platform. It tracks lifecycle and compliance, not who has stock and at what price. You'd need Nexar, distributor APIs, or similar tools for supply chain visibility.
If you're a smaller team without enterprise compliance requirements, the cost and sales process may not be justified. The data is valuable, but the go-to-market model assumes customers with budgets and procurement processes that match enterprise software.
And if you need a modern developer experience — RESTful API with OAuth2, GraphQL flexibility, self-serve sandbox, transparent pricing — SiliconExpert's API was built for a different era and a different buyer.
Where Zenode Fits In
These platforms aren't competing for the same budget or the same use case. They're addressing different problems that happen to involve the same underlying components.
SiliconExpert answers: "Is this BOM going to cause us problems?"
SiliconExpert operates after component selection. Once you've decided what parts to use, it tells you whether those choices carry lifecycle risk, compliance gaps, or counterfeit exposure. That's risk management — essential for regulated industries, but downstream of the design decision itself.
Zenode operates during component selection. When you're starting a new design, evaluating alternatives during a shortage, or looking for cost-reduction opportunities, Zenode's Discovery engine helps you explore options with natural language queries and AI-ranked results. The Alternatives engine provides cross-references with explained tradeoffs — not just "same pinout" but "same pinout, 15% lower power, but only available from one manufacturer." Specifications come from parsed manufacturer datasheets, so the data is grounded in authoritative sources.
In practice, the strongest component management workflows use both approaches. Intelligent selection during design, then risk validation before production, then ongoing lifecycle monitoring through manufacturing and field support. The discovery tool helps you make better choices; the compliance tool helps you verify those choices won't create problems downstream.
