Hebbia vs Onyx
Hebbia
hebbia.comOnyx
onyx.appSide by side
| Figure | Hebbia | Onyx |
|---|---|---|
| Price from | — | $20/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 3 |
| Spec score · AI Enterprise Search Software | 7.9 (#11) | 8.9 (#3) |
| API | Hebbia’s September 2026 blog listing says the platform offers a new API and MCP server. | Nearly every feature is exposed through a REST API using JSON, with Bearer API keys or personal access tokens and an OpenAPI explorer at /api/docs. |
| Custom agents | Max can turn a firm's processes into agents that run on their own. | Users can define agents with natural-language instructions, scoped connector or uploaded knowledge and selected actions, then share them with users or groups. |
| Founded | 2020 | G2 lists Onyx AI as serving customers since 2023 and gives 2023 as its founding year. |
| Integrations | The integrations page lists sources including Snowflake, FactSet, PitchBook, S&P Global, Daloopa, ICE, Moody’s, DealCloud, Salesforce, Preqin, Intralinks, Egnyte, AWS S3, Box, Databricks, Dropbox, Guidepoint, Third Bridge, and SharePoint. | The product advertises more than 50 synced connectors and names Slack, Google Drive, Confluence, Salesforce, GitHub and Jira among supported sources. |
| Purpose | Hebbia describes its product as an intelligence platform built for finance. | Onyx connects enterprise knowledge to give humans and agents context for AI answers. |
| Security | Hebbia says customer documents, prompts, and outputs are not used to train its models or model providers’ models. | The site says documents and embeddings can stay in the customer's infrastructure, data is not used for training, and source permissions are enforced at query time. |
Plans
In their own words
Onyx
Onyx connects enterprise knowledge so people and AI agents can use relevant context in answers. It searches indexed sources in parallel and presents documents while enforcing each source's permissions. More than 50 connectors sync connected tools in the background and support hybrid semantic and keyword search. The Business plan lists chat and search, major LLM access, custom agents, MCP/OpenAPI actions, web search, deep research, code interpreter, and image generation. Business costs $20 a month, billed annually at $20 per user per month, for teams of any size, with 40+ app connectors and Community Support. Onyx provides APIs for messages, agents, LLM management, actions, and user authentication. Slack integrations can provide responses and agents; Microsoft Teams and Zendesk are described as coming soon. Deployments can run in a customer's cloud or on bare metal, including on-premise and fully air-gapped environments. The site says documents and embeddings can remain in customer infrastructure, data is not used for training, and permissions are checked at query time. Native Windows, macOS, and Linux apps connect to an existing deployment.