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

A side-by-side comparison of Elva and Relaticle — 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.

Freemium

Open-source, self-hosted CRM with built-in AI chat and a 37-tool MCP server so external agents can read and update customer data.

Built-in AI Chat: Ask Rela anything about your CRM, @-mention records to scope a question, approve destructive actions, and undo with one click; supports voice input and searchable history.
37-Tool MCP Server: Connect Claude, ChatGPT, Gemini, or any custom MCP client for full CRUD over contacts, companies, deals, tasks, and notes, plus pipeline analysis.
Customizable Data Model: 22 field types including entity relationships, conditional visibility, and per-field encryption so the schema matches how your team actually sells.
Sales Pipeline Management: Custom opportunity stages, lifecycle tracking, and win/loss analysis across companies and contacts.
Task and Note Tracking: Create, assign, and link tasks and notes to any record; ask the chat to draft follow-ups or roll up what's due.
Team Collaboration: Multi-workspace support with role-based permissions and five-layer authorization.
Import and Export: CSV migration from any CRM with column mapping, validation, and error handling, plus export at any time.
Self-Hosting: Deploy on your own server with the published Docker Compose file under AGPL-3.0, with unlimited users and records.

A small sales team wants a CRM their Claude or ChatGPT agents can safely read and update without building a custom integration.
A privacy-conscious company needs customer data to stay on infrastructure it controls rather than in a third-party SaaS.
A founder migrating off HubSpot or Attio wants an open-source alternative with no per-seat pricing.
An operations lead automates pipeline hygiene — logging notes, rescheduling tasks, updating deal stages — through an agent with approval gates.
A developer builds a custom internal tool on top of the REST API and MCP server rather than a closed CRM's limited integrations.
A team standardizes on one shared schema so manual edits, in-app chat, and external agents never drift apart.