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Lucent

Lucent is an AI product manager for session replay: it watches user session recordings continuously and automatically detects bugs and UX issues, surfacing them as prioritized, AI-verified issues with reproduction steps, console logs, network activity, and affected-user counts. It ingests rrweb session batches from a lightweight browser SDK (plus React Native and Flutter), imports replays from providers such as PostHog and Sentry, and exposes a REST Data API to read issues, signals, and insights and to update issue status, webhooks for issue events, and a hosted Model Context Protocol (MCP) server so agents like Claude and Cursor can query Lucent data directly. Founded 2025, Y Combinator Winter 2026 batch.

agent native

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 Lucent the way a machine reads it — 12 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 — Lucent scores 54.4/100 (developing), with a separate agent-readiness read of 84/100 (agent native). 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 — 54.4/100 · developing
Contract Quality 17.7 / 25
Developer Ergonomics 16.1 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 1.7 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 84/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 9 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Lucent

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

Lucent Insights API

The Insights API from Lucent — 1 operation(s) for insights.

Lucent Issues API

The Issues API from Lucent — 2 operation(s) for issues.

Lucent Sdk API

The Sdk API from Lucent — 1 operation(s) for sdk.

Lucent Signals API

The Signals API from Lucent — 1 operation(s) for signals.

Arazzo Workflows 2

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

_Index

ARAZZO

Lucent — triage and resolve an issue

List unresolved issues, fetch the top one, and mark it resolved.

ARAZZO

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

lucent-mcp.yml

MCP SERVER

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.

Lucent Webhooks

Lucent pushes signed HTTP callbacks to a receiver URL you register (Organization → Webhooks) when events happen in your organization. Deliveries are signed with HMAC-SHA256 (Luc...

ASYNCAPI

Security Posture 2

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.

Lucent Authentication

apiKey/http/oauth2 · 2 schemes

SECURITY

Lucent Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.

OAuth scopes governing access to this provider's APIs.

Lucent Scopes

2 scopes

2 scopes

SCOPES

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.

Lucent Agentic Access

6 operations · 2 acting

6 operations · 2 acting

AGENTIC

Resources

Every other property we hold for Lucent — 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 3

Reference material describing how the API behaves

Agent Surfaces 7

MCP servers, agent skills, and machine-readable catalogs

Scroll within the panel for all 7 ·

Build 4

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 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

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