# Userlens

**Canonical:** https://apis.io/providers/userlens/  
**Website:** https://userlens.io  
**APIs profiled:** 1

Userlens is an AI-native customer success platform for B2B SaaS that deploys LLM-powered agents to monitor every customer account, predict churn from actual product usage, and surface expansion opportunities. It ingests product analytics, CRM data, and business context for AI health scores, account-level analytics, and proactive alerts, and exposes a Write-Code-authenticated Events API (identify, group, track, and batched SDK event forwarding) plus JavaScript SDKs for instrumentation. Founded in 2025 (Y Combinator Spring 2026 batch), based in San Francisco and Helsinki.

## Kin Score — 36.6 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 36.6).

| Facet | Score |
|---|---|
| Discoverability | 75.9 |
| Contract Quality | 15.2 |
| Governance | 30.3 |
| Contract Governance | 30.3 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 51.8 |
| Commercial Clarity | 52.6 |
| Access Clarity | 52.6 |

## Agent readiness — 28.4 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | documented |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | derived |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## APIs (1)

- **Userlens Events API** — User identification, company grouping, and event ingestion

## MCP servers (1)

- **Userlens MCP Server**

## Security (2)

- **Userlens Authentication** — http · 1 scheme
- **Userlens Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Customer Success, Product Analytics, AI Agents, Churn Prediction, Event Tracking, B2B SaaS, Account Intelligence

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/userlens/). Scores are computed from the provider's own public artifacts under a published rubric.