Jaeger
Jaeger is an open-source, end-to-end distributed tracing platform for monitoring and troubleshooting transactions in complex distributed systems. Originally built and open-sourced by Uber Technologies in 2017, Jaeger was donated to the Cloud Native Computing Foundation, became an incubating project in 2017, and graduated in 2019. Jaeger v2, released in November 2024, is a customized distribution of the OpenTelemetry Collector and is the OTLP-native generation of the platform. It exposes three primary APIs — the Query API (read), the Collector API (span ingest), and the Sampling Manager API (remote sampling configuration) — across HTTP and gRPC, supports six pluggable storage backends, and ships with a Kubernetes Operator, Helm charts, a React UI, and a Grafana plugin.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Jaeger the way a machine reads it — 26 machine-readable artifacts across 3 APIs, 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 — Jaeger scores 43.1/100 (thin), with a separate agent-readiness read of 32/100 (agent aware). 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.
How we profile Jaeger
Each block below is one kind of artifact we hold for Jaeger. 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.
APIs 3
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Jaeger CollectorService API
The CollectorService API from Jaeger — 1 operation(s) for collectorservice.
Jaeger QueryService API
The QueryService API from Jaeger — 6 operation(s) for queryservice.
Jaeger SamplingManager API
The SamplingManager API from Jaeger — 2 operation(s) for samplingmanager.
Open Collections 3
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Jaeger Collector API (api_v2)
OPEN COLLECTIONJaeger Query API (v3)
OPEN COLLECTIONJaeger Sampling Manager API (api_v2)
OPEN COLLECTIONFeatures 14
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.
Scroll within the panel for all 14 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Jaeger Io Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Jaeger API Rules
SPECTRALJSON Schema 2
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Jaeger Sampling Strategy Response
JSON SCHEMAJaeger Span
JSON SCHEMASecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Jaeger — 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.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 8
Reference material describing how the API behaves
Scroll within the panel for all 8 ·
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 14
SDKs, sample code, and the tooling you integrate with
Scroll within the panel for all 14 ·
Access & Security 2
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 6
Properties that don't map to a standard resource type
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