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LogRocket

LogRocket is a session replay, product analytics, and frontend monitoring platform that captures user sessions, errors, and performance data.

agent ready

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles LogRocket the way a machine reads it — 32 machine-readable artifacts across 4 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 — LogRocket scores 46.8/100 (developing), with a separate agent-readiness read of 54/100 (agent ready). 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 46.8/100 · developing
Contract Quality 18.8 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 7.4 / 20
Operational Transparency 3.4 / 13
Governance 4.1 / 12
Discoverability 8.8 / 10
Agent readiness — 54/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 6 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile LogRocket

Each block below is one kind of artifact we hold for LogRocket. 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 4

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.

LogRocket GraphQL API

LogRocket GraphQL API for querying session, event, error, and analytics data with flexible field selection.

LogRocket Data Export API

Retrieve exported session data files from storage buckets.

LogRocket Highlights API

Access Galileo AI-generated session highlights and summaries.

LogRocket Users API

Manage user identification and traits for session context.

Open Collections 2

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).

LogRocket GraphQL API

OPEN COLLECTION

LogRocket REST API

OPEN COLLECTION

GraphQL 1

Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.

GraphQL schemas published by this provider.

LogRocket GraphQL API

LogRocket GraphQL API for querying session, event, error, and analytics data with flexible field selection.

GRAPHQL

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Logrocket Rate Limits

1 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

AsyncAPI definitions for this provider's event-driven and streaming APIs.

LogRocket Galileo Highlights Webhook

The LogRocket Galileo Highlights webhook delivers AI-generated session highlights to a customer-specified URL when processing completes. When a highlights request includes a web...

ASYNCAPI

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.

Logrocket Context

0 classes · 6 properties

JSON-LD

Spectral Rules 2

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.

LogRocket API Rules

3 rules · 1 errors · 1 warnings

SPECTRAL

LogRocket API Rules

6 rules · 4 warnings

SPECTRAL

JSON Schema 13

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.

LogRocket Data Export Record

8 properties

JSON SCHEMA

DataExportResponse

2 properties

JSON SCHEMA

ExportedSession

1 properties

JSON SCHEMA

GraphQLError

4 properties

JSON SCHEMA

GraphQLRequest

3 properties

JSON SCHEMA

GraphQLResponse

2 properties

JSON SCHEMA

HighlightsRequest

4 properties

JSON SCHEMA

HighlightsResponse

4 properties

JSON SCHEMA

HighlightsResult

2 properties

JSON SCHEMA

LogRocket Session

20 properties

JSON SCHEMA

SessionHighlight

2 properties

JSON SCHEMA

User

4 properties

JSON SCHEMA

UserIdentificationRequest

3 properties

JSON SCHEMA

Scroll within the panel for all 13 ·

JSON Structure 1

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Logrocket Structure

0 properties

JSON STRUCTURE

Security Posture 3

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.

Logrocket Authentication

apiKey · 1 scheme

SECURITY

Logrocket Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Logrocket Trust Center

SOC 2, GDPR

SECURITY

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.

Logrocket Agentic Access

5 operations · 3 acting

5 operations · 3 acting

AGENTIC

Resources

Every other property we hold for LogRocket — 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 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/logrocket · machine-readable index on apis.io