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

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

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.

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.

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.

kuja.dev (Aakashdhruv Vashisht)

Freemium

Per-app macOS equalizer with on-device AI song analysis and 3,985 bundled headphone correction profiles — nothing leaves your Mac.

Per-App Patchbay Routing: Route individual music and video apps through independent equalizers so mixed browser audio never contaminates the signal chain.
AI Song Live Analysis: An on-device engine analyzes each track as it starts and reshapes tone in real time over the per-app EQ and headphone correction.
3,985 Headphone Correction Profiles: Bundled AutoEq correction curves for a wide catalog of headphones, earphones, and IEMs are read by the AI to compensate for gear response.
User Tweaks Stay On Top: Manual EQ adjustments always sit on top of AI and correction lanes, so listener taste is never overwritten.
Fully On-Device Privacy: All analysis happens locally with no signup, no cloud, and no accounts — nothing leaves the Mac.
Apple-Notarized macOS App: Distributed as a notarized native app for macOS 15.6+ with a free player tier that remains free forever.
Buy-Once License: A one-time ₹1,000 Premium purchase activates on up to two Macs and includes free updates for the EQK 1.x line.

Audiophile Listening on Mac: Music enthusiasts pair headphone correction with AI song analysis to hear a corrected, tone-matched signal on their exact gear.
Content Creator Monitoring: Editors and streamers route their DAW or video app through EQK to preview mixes against a corrected reference.
Isolating App Audio: Users tune podcasts, music, or video separately so switching apps does not mean re-EQing every time.
Privacy-Conscious Listeners: Anyone unwilling to send listening data to the cloud gets AI-driven EQ that runs entirely on device.
IEM and Headphone Reviewers: Reviewers with many pairs compare gear against consistent AutoEq baselines and their own taste tweaks.
Free Player for Casual Users: Users who want basic per-app EQ without AI keep the free player tier indefinitely.