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Elva vs leni: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Elva and leni — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Elva logo

Elva

Theneo

Freemium

Reads your repositories to discover every API, scores and governs them, then exposes them to developers and AI agents via hosted MCP servers.

Key features

  • Spec-Free API Discovery: Elva scans repository code directly to find endpoints and generates OpenAPI 3.1 as output, so no existing spec is needed to start.
  • Endpoint Scoring: Every collection is graded on design, developer experience, AI readiness, security and performance, with the weakest collection surfaced first.
  • AI Fix Pass: A one-click agent writes missing descriptions from code, types response schemas and documents auth, then rescores the collection.
  • API Contracts: Per-audience contracts pin the exact endpoints and fields a partner, internal team, public developer or MCP client receives, excluding PII and internal fields.
  • Breaking Change Enforcement: Each commit is diffed against published contracts, showing the schema diff, affected consumers and tools, and blocking publish by policy.
  • Hosted MCP Servers: Contracts generate MCP servers hosted behind Elva's gateway with OAuth2, scoped keys, per-tool authorization and exportable call logs.
  • MCP Playground and Agent Feedback: Test the server with a live model, then read the complaints agents file about confusing or failing tools, scored back into the catalog.
  • Multi-Target Publishing: One approved contract ships as OpenAPI spec, Theneo docs, MCP server, Postman collection and a typed TypeScript SDK in sync.

Best for

  • API Inventory Audit: Discover undocumented or forgotten endpoints across a large codebase and get a ranked list of what to fix first.
  • Agent Enablement: Expose an internal service to Claude, Cursor or ChatGPT as a governed MCP server instead of hand-writing tool wrappers.
  • Partner Integration Safety: Publish a restricted contract to an external partner and have Elva block commits that would break their integration.
  • PII Scoping: Keep customer emails and internal ops annotations out of a public or agent-facing surface while the same endpoints serve them internally.
  • Zombie Endpoint Retirement: Prove no active consumer references an endpoint before deleting it, using contract and call-log evidence.
  • Enterprise Security Review: Satisfy SOC 2, ISO 27001 and GDPR questions and wire agent access into an existing SSO and SCIM identity provider.
  • Documentation Drift Control: Keep docs, SDKs and Postman collections regenerated from code on every merge instead of maintained by hand.
View Elva details
leni logo

leni

leni

Paid

Purpose-built, secure and accurate AI platform that helps commercial real estate and private equity investors streamline underwriting, reporting, and decisions.

Key features

  • Underwriting Automation: Automates core underwriting tasks—financial model population, cashflow projections, and sensitivity analyses—to reduce manual spreadsheet work and speed deal assessment.
  • Structured Reporting: Generates standardized, investor-ready reports and summaries to streamline monthly or deal-level reporting and ensure consistent presentation across teams.
  • Decision Support & Insights: Produces concise insights and flagged risks to help investment committees evaluate opportunities faster and with repeatable criteria.
  • Institutional-Grade Security: Emphasizes secure handling of investor data and models, designed to meet expectations for confidentiality and auditability in CRE and PE workflows.
  • Data Ingestion & Normalization: Accepts and normalizes deal documents and financial inputs so models and reports can be produced consistently across heterogeneous data sources.
  • Accuracy Controls & Validation: Includes validation steps and consistency checks to improve the reliability of outputs and reduce errors common in manual underwriting.
  • Automated underwriting assistance and model analysis
  • Investor reporting generation and portfolio analytics
  • Decision-support insights for deal screening and selection
  • Emphasis on data security and enterprise-grade accuracy
  • Workflow integration to streamline investment processes

Best for

  • CRE Underwriting: Quickly produce standardized underwriting models and scenario analyses for potential commercial real estate acquisitions to accelerate LOI and diligence decisions.
  • Private Equity Deal Screening: Screen target companies with consistent financial summaries and risk indicators to prioritize deeper diligence for high-potential opportunities.
  • Portfolio Reporting: Automate monthly or quarterly portfolio performance reports and variance analyses for LP reporting and internal portfolio review.
  • Investment Committee Preparation: Generate concise deal briefs and decision memos that summarize key assumptions, sensitivities, and risks for committee review.
  • Scenario & Sensitivity Analysis: Run multiple macro or operational scenarios to quantify downside risk and upside potential across deals or portfolio assets.
  • Audit & Compliance Trail: Produce auditable output and standardized documentation to support compliance, fund administration, and third-party review processes.
  • Underwriting new acquisitions and validating financial models
  • Generating standardized investor and portfolio reports
  • Screening deal pipelines and prioritizing opportunities
  • Due diligence and risk assessment for CRE and PE transactions
  • Improving consistency and speed of investment committee preparation
View leni details