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

A side-by-side comparison of Elva and qarunbook — 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
qarunbook logo

qarunbook

qarunbook

Freemium

qarunbook is an app testing runbook where AI drafts a test plan from your code and your team or AI works through it, tracking issues and retests.

Key features

  • AI-Drafted Test Plans: The /test-checklist skill looks through your app and drafts checks with steps and expected results already filled in.
  • MCP Connection: Connect Claude Code, Claude Desktop, Codex, Cursor or any MCP client so the assistant can read the plan and record results.
  • Issue-to-Check Linking: Every issue sits on the check that found it with the affected platforms, and raising one removes the pass.
  • Retest Flow: When an issue is fixed the check waits for someone to look again before being marked passed.
  • Roles and Join Links: Give people access to only the projects they need and invite whole groups with a join link.
  • Multi-App Workspaces: Keep each app's sections and platforms separate so web, driver and marketing sites are tested side by side.
  • GitHub and Linear Integration: Connect issue trackers so problems found in testing flow into existing engineering workflows.
  • QA Runbook Skill: The /qa-runbook skill works through the plan on web and mobile, recording each result and re-checking fixes.

Best for

  • Release Testing: Run a structured test plan before each release across web, Android and iOS.
  • AI-Assisted QA: Let a coding assistant execute checks and record pass/fail results through MCP.
  • Team Test Coordination: Split test checklists among teammates and see progress and results in one workspace.
  • Regression Follow-up: Track bugs against specific checks and retest them after fixes ship.
  • Solo Developer Testing: Generate a test plan from the codebase so a one-person team knows what to check.
  • Agency Multi-Client QA: Manage separate apps and clients with scoped access and a flat workspace price.
View qarunbook details