Integrations · Logistics
Put an AI employee to work in EasyPost.
A shipping API across many carriers. Your AI employee connects to it over EasyPost's web API, works at the approval level you set, and logs every action it takes.
What an AI employee can do in EasyPost
- Your shipping agent picks up tracking events across carriers and updates customers.
- It flags packages that stopped moving.
- It records carrier performance so you can see which one lets you down.
An example in EasyPost
A subscription coffee roaster ships across several carriers through EasyPost. Each morning the agent checks every Tracker for packages that have not moved and emails those customers before they notice. When a customer writes that she moved, the agent runs the new Address through verification and updates her subscription before the next box ships. For an undeliverable package, it asks whether to reship. Late shipments, address fixes and replacements are recorded on each customer in the CRM, with the carrier noted so you can compare them.
What stays with your people
You choose carriers and rates and approve any reship or refund.
The connection
- How it connects
- Over EasyPost's web API (HTTPS), or an MCP server where one exists. Its key is stored as a secret, scoped to the job, and never written into the AI employee's instructions. Set it up yourself in the Studio, or have us do it.
- What it reads and writes in EasyPost
- Shipment, Tracker, Address, Parcel, Rate.
- Approval level
- Off, suggest, draft or autonomous, granted by you task by task. Outbound texts and deletions never pass draft.
- On the record
- Every call it makes to EasyPost is logged with what it did and when, so a person can pick up where it left off.
Industries that often run EasyPost
Questions about EasyPost
- Does the agent buy shipping labels?
- Not by default. It can prepare a shipment and show the rates, and buying the label waits for your approval unless you change that.
- Can it fix addresses before we ship?
- Yes. It can check addresses and ask the customer to confirm when something looks wrong.
