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

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

Paid

Private, local-first search across every AI coding conversation in Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity.

Unified Conversation Index: Reads local stores from Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity and merges them into one searchable timeline.
Instant Global Search: A ⌘⇧Space shortcut opens a search bar with ~0 ms latency across every past AI chat on your machine.
Local-Only and Read-Only: Data stays on-device and is snapshotted first, so your original chat stores are never modified and nothing is uploaded.
Zero-Setup Install: One macOS download auto-discovers the local stores of supported tools — no account, no configuration.
Unlimited History: Keeps the full history of every conversation instead of the tool-specific rolling windows.
Scratchpad and Sources View: A companion Scratchpad and per-source view let you browse conversations by tool and pinned notes.

Recovering Past Fixes: Find the exact bug fix or config you already talked through with an agent weeks ago instead of re-prompting.
Cross-Tool Research: Search a topic across Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity at once when you have used more than one.
Auditing Agent Work: Review what an AI tool actually did on a branch or task by browsing the merged conversation timeline.
Private Knowledge Base: Build a searchable, on-device knowledge base of your AI chats without sending anything to a cloud service.
Onboarding a New Machine: Point Inventory at existing chat stores to bring years of AI conversation history into one searchable place.