Big O Notation
Big O Notation is a mathematical notation used in computer science to describe the performance or complexity of algorithms, providing a way to classify algorithms by how their runtime or space requirements grow as input size grows. It is foundational to algorithm design, API performance benchmarking, and software engineering education.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Big O Notation the way a machine reads it — 13 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Big O Notation scores 9.6/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Big O Notation
Each block below is one kind of artifact we hold for Big O Notation. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Features 7
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
O(1) - Constant Time
Algorithm runtime does not change with input size. Example - hash table lookups.
O(log n) - Logarithmic Time
Runtime grows logarithmically with input. Example - binary search.
O(n) - Linear Time
Runtime grows linearly with input size. Example - linear search.
O(n log n) - Linearithmic Time
Runtime grows as n multiplied by log n. Example - merge sort, heap sort.
O(n²) - Quadratic Time
Runtime grows quadratically with input size. Example - bubble sort, nested loops.
O(2^n) - Exponential Time
Runtime doubles with each additional input element. Example - recursive Fibonacci.
O(n!) - Factorial Time
Runtime grows factorially. Example - brute-force traveling salesman.
Scroll within the panel for all 7 ·
Use Cases 6
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Algorithm Selection
Choosing the most efficient algorithm for a given problem based on complexity class.
API Performance Benchmarking
Analyzing API endpoint performance characteristics under varying data sizes.
Code Review
Evaluating the time and space complexity of code changes during review.
Database Query Optimization
Understanding complexity of database operations to optimize query performance.
Scalability Analysis
Predicting how software will perform as data volumes grow at scale.
Interview Preparation
Preparing for technical interviews requiring algorithm complexity analysis.
Resources
Every other property we hold for Big O Notation — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 2
Reference material describing how the API behaves
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
← All providers · Data indexed from github.com/api-evangelist/big-o-notation · machine-readable index on apis.io