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"Highly Configurable" Means Little: A Six-Level Scale for a Term Every Vendor Claims
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Third part of a series of articles that tries to cut through the fluff in insurance core system marketing and to align terms for core system buyers.
In this 4-part series
"We have 2,500+ APIs." "Over 10,000 APIs." Few numbers appear more often in core system marketing and carry a larger gap between what they claim and what they mean. API counts are the megapixels of insurance software: easy to print, easy to inflate, but they can't be the sole measure of the picture.
The first thing the headline number hides is audience. A modern core system exposes interfaces to very different consumers: internal microservices talking to each other; the back-office portal; customer-facing apps; the integration surface for your IT team and system integrators; and so on. These layers differ in purpose, in granularity, in stability, and above all in magnitude.
The market reflects this confusion in a proliferation of prefixes: Open APIs, Core APIs, Atomic APIs, Kernel APIs, Partner APIs, System APIs, Experience APIs. Vendors rarely define which layer a number refers to. When the layers are blended, the count is not information but theatre.
A five-digit API count is not a sign of richness but a symptom of API sprawl (this article from IBM is a good reference). In our experience it traces back to three architectural causes:
Exposed internals. The vendor counts every interface between its own microservices. You are looking at the system's plumbing, not its product.
Shattered operations. A single business action ("create a quotation") is split across many fine-grained calls instead of one business-semantic API. The integrator then inherits the orchestration burden, complex exception handling, and fragile transactional state management.
Redundant design. Each business domain grew its own services instead of sharing well-layered platform capabilities. The API count goes up, while the coherence goes down.
All three yield the same architectural trap: fragile integrations, heavy maintenance burden, and implementation estimates that may quietly double.
A reasonable API count is a good start, but nothing more. The questions that predict your integration experience include:
How many API calls does it take to create a quote, issue a policy, register a claim, end to end? The well-designed, business-semantic APIs handle this in a clean, straightforward sequence, not dozens of fine-grained endpoints.
What is the developer experience? Does the platform offer modern, interactive developer portals, well-organised OpenAPI specifications, and sandboxes—or an outdated static PDF that becomes a maintenance nightmare?
What is the API changelog and the deprecation policy? Governance and backward compatibility are what matter in the years to come (and core systems are notoriously long-lived).
Can my team compose new APIs? On top of well-governed core APIs, is there a governed platform on which your IT team and partners can assemble, expose, and manage new interfaces in a standardised, maintainable way?
AI agents are the newest and most demanding API consumers (whether directly or via MCP or CLI). An agent interacting with well-organised, business-semantic capabilities works reliably. An agent confronted with thousands of fine-grained, overlapping endpoints burns its context on navigation and is at risk to pick wrong.
API sprawl that may merely annoy a human integrator may actively break agentic operations. MCP and agent interfaces are only ever a surface expression of what lies beneath. A clean, governed, business-semantic API architecture is what makes a core operable by AI agents. In the AI era, API quality compounds, while pure API quantity adds noise.
Next time someone boasts a large API count, don't be impressed. Be curious. Ask what's being counted, and how their APIs are organised and governed - the answer will tell you more than any number.

Core System
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Artificial Intelligence
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Core System
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