
Treblle captures consumer geolocation, device intelligence, endpoint usage patterns, and performance metrics across every API request, with custom data retention and the period-over-period comparisons your team needs to make product decisions with confidence.
One SDK integration begins capturing 100% of API traffic immediately. Treblle enriches each request with consumer geolocation, device type, HTTP client identity, user agent details, and any custom metadata your team attaches.
Every data point captured becomes a filterable dimension. Filter by country, device type, HTTP client, endpoint, consumer, status code, latency range, or any custom metadata field, instantly, without writing a query.
With custom data retention, your team defines how long history is kept and can compare this quarter against last year, investigate a performance regression against a baseline from months ago, or track adoption growth across any time window.
What is API Analytics?
API analytics is the collection, storage, and analysis of data about how APIs are used: which endpoints get traffic, which consumers are calling them, where requests originate, what devices and HTTP clients are involved, and how performance changes over time. Unlike infrastructure monitoring, which tells you whether your API is up and how fast it responds on average, API analytics tells you who is using specific endpoints, how usage is growing or shifting, which consumers are disproportionately concentrated on a single endpoint, and whether this month's performance is better or worse than last month's. Treblle captures this data at the request level across 100% of API traffic, with custom data retention and the ability to slice any dimension in real time.
Consumer Intelligence
Generic request counts tell you how busy an endpoint is. Consumer analytics tells you whether that traffic is coming from enterprise customers in Germany using a mobile SDK or anonymous scripts from a single cloud region. Treblle captures geolocation per request, identifies device types and operating systems through Device Intelligence, parses HTTP client identity, and interprets user agent strings to give your team a full consumer picture without requiring explicit consumer registration.
Captures the geographic origin of every API request at the country, region, and city level. Understand where your API is being used without requiring consumers to self-report location.
Identifies device type, operating system, and platform for every request. Distinguish mobile, desktop, and server-to-server traffic automatically across your entire API surface.
Identifies the HTTP client or library sending each request, from curl to Axios to Retrofit. Gives teams visibility into how consumers are integrating, not just that they are calling.
Parses and normalizes user agent strings into structured data. No manual regex maintenance or user agent database management required to get clean, queryable client data.
Usage and Performance
Top-level request counts hide the endpoints that actually matter. A single endpoint handling 70% of your traffic with a degrading p95 latency is a different problem than one with low volume and high errors. Treblle's Endpoint Usage Tracking shows consumption distribution across every endpoint, and Request Performance Metrics breaks down latency percentiles, throughput, and error rates per endpoint so performance problems appear against the usage context that makes them actionable.
Tracks request volume, consumer count, and growth rate per endpoint. Surfaces which endpoints drive the most traffic, which are growing fastest, and which are unused.
Captures latency at p50, p90, p95, and p99, plus throughput and error rates per endpoint. Performance data tied to usage volume so you prioritize the right optimizations.
Real-Time Filtering
Answering 'which enterprise customers in the UK called this endpoint with a 401 error yesterday between 2pm and 4pm' should not require a custom query. Treblle's Real-Time Search and Filtering makes every captured dimension a first-class filter: country, device, HTTP client, endpoint, status code, latency range, consumer identifier, and any Custom Metadata your team attaches to requests. The answer to any usage question appears in seconds, not after you write a SQL query and wait for a scheduled report.
Filter across every captured dimension instantly: endpoint, country, device, HTTP client, status code, latency, consumer, and more. No query language required, results appear as you filter.
Attach arbitrary key-value data to API requests to create business-specific filter dimensions. Tag requests with account tier, feature flag, subscription plan, or any context relevant to your analysis.
Historical Depth
Most analytics platforms either expire detailed data after 90 days or roll it up into hourly aggregates, which means you cannot investigate a performance regression from six months ago or compare this quarter's consumer growth against the same quarter last year at the request level. Treblle lets you define your own retention policy so data stays available for as long as your compliance, audit, or business requirements demand, and Period-Over-Period Comparison is built into the analytics interface so any metric can be measured against any previous period without exporting data to a separate BI tool.
Define your own data retention policy rather than accepting an arbitrary vendor-imposed window. Keep full request-level analytics for as long as your compliance, audit, or business requirements demand.
Compare any metric across any two time windows directly in the analytics interface. Measure this month versus last month, Q1 versus Q1 last year, or this week versus the two weeks before a release.
Treblle works best when working in unison. Check out other capabilities that will help you make the most out of your API landscape.
API Observability
The same full-payload capture that powers observability simultaneously feeds compliance evaluation, with no additional instrumentation.
API Intelligence
Cross-signal intelligence that combines observability, security, governance, and compliance data into predictive risk detection and executive dashboards.
API Security
Compliance signals feed directly into security threat scoring, so a GDPR violation on an endpoint raises the security risk level for the same traffic.
All Systems Operational
Gartner: Magic Quadrant, 2025
Gartner AI API Strategy, 2025
Everest Group: Enterprise App Integration Platforms, 2026