The number and the story behind it.
Revenue and growth in one view, built from the services you already use.
Connect the systems you already use. Turn their data and capabilities into useful views, grounded answers, and approved actions for people and assistants.
Built for your team, your customers, and the agents that work for them.
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Use your Honeypoard workspace, or bring approved tools into Claude Code, Codex, and the agents you build through MCP.
Choose which sources each capability uses, who can access it, and when an action needs human approval. Publish those rules to people and agents.
A clear view, an answer you can trace, and actions that stay within the rules your team sets.
Revenue and growth in one view, built from the services you already use.
Get a useful answer across approved services, with a clear path back to the records behind it.
Harbor’s refund rate rose from 1.8% to 2.4%. Delayed-delivery orders drove most of the change; invoice adjustments explain a smaller share.
Offer selected capabilities to agents. Limit what they can read and when they must ask a person to decide.
Requests that cross your rules land in a shared inbox, with the reason and policy attached.
See what matters across your services. Ask better questions with source context. Give people and agents approved ways to act.
Build private dashboards for your team or publish a useful view inside your product. Make signals from connected services easy to follow.
Explore dashboardsAsk a question across approved sources and see where the answer came from, so your team can investigate with confidence.
Explore answersGive assistants approved tools through a governed MCP server. Bring a person in when an action crosses the rules you set.
Explore actionsSee refund patterns, ask which tickets are related, then route an approved refund.
See delayed deliveries, ask which orders are affected, then escalate the exceptions.
Start in Honeypoard Cloud or run the data plane in your own environment. Build the same dashboards, answers, and agent tools either way.
How publication, data, and agent access work in a Honeypoard workspace.
Explore the product guide ↗No. Models can help propose mappings, relationships, and descriptions. Your team reviews the proposal, and deterministic validation checks the approved definitions before publication. A published execution plan does not ask a model to reinterpret its joins or permissions.
Honeypoard records a proposed revision and shows which relationships or capabilities may be affected. A published contract is pinned to its approved definition. If a source can no longer support safe execution, a dependent capability becomes unavailable until it is resolved.
Honeypoard reads your service schemas, then suggests relationships and capabilities in a reviewable UI. Your team can inspect the evidence and relationship history, then approve the inputs and permissions. The resulting capability YAML can optionally be kept in source control. Publication pins the approved definition so the tool runs with deterministic joins and rules.
See the relationship review and capability YAML example in the product guide ↗
Your business data stays in the connected systems unless you approve a capability that syncs or caches some of it. The data plane handles those reads and any approved copies. Honeypoard manages the data plane by default, while Enterprise customers can run it in their own environment. Honeypoard Cloud stores workspace settings and approved definitions, not your business records.
Yes. Enterprise customers can run the data plane in their own environment, so connections, credentials, processing, and any approved caches stay there. Honeypoard Cloud still manages workspace configuration and publication.
MCP lets an authorized coding harness or assistant use the approved tools in a workspace. A2A lets an agent your company builds connect to that workspace as an agent. Both use the published capabilities and applicable governance rules.
Only through operations you explicitly publish for that audience. Permissions, input constraints, field restrictions, limits, and any required human approval are checked at execution. A read capability does not become a write capability because an assistant asks it to.
Tell us what you want to connect and what you want to make possible. We'll get back to you about access and the right starting point.