AgentMessage makes 10DLC faster and easier because we are not trying to solve every messaging use case. We are a Campaign Service Provider built for AI agent traffic, backed by a direct partnership with a Tier 1 carrier network and infrastructure designed around one-to-one agent conversations.
A platform that serves every messaging use case, from bulk campaigns to call centers, has to keep its onboarding generic and its review flows broad. That breadth is exactly what slows teams down.
AgentMessage is narrower by design. We are building for AI agents that need conversations from dedicated numbers. That focus lets us make onboarding cleaner, campaign submissions stronger, pricing clearer, and support more useful.
Inbound SMS needs no campaign approval. Provision a number, text it from your own phone, and the message lands on your webhook in seconds. Outbound A2P unlocks once your campaign clears carrier review, and the dashboard shows exactly where you are in that process.
Brand registration, campaign details, opt-in language templates, sample messages, MNO metadata, consent state, and approval status live in the product, with an AI review that flags likely rejection causes before you submit. You are not stitching together a spreadsheet and a support thread. You remain responsible for the accuracy of registration data and the validity of consent collected through your flows.
Because we are partnered directly with a Tier 1 carrier network (Bandwidth) and focused on one traffic class, pricing stays competitive. Every account starts with a $5 credit, and there is no monthly platform fee.
We know why every agent may need a number, why replies matter, why opt-outs must change behavior immediately.
Your team gets clean APIs for messages, numbers, inbound replies, delivery state, usage, and controls. We own the carrier inventory, routing, and operation underneath.
We are not a generic SMS vendor with an AI landing page. AgentMessage is the compliance tooling, carrier path, pricing, and number infrastructure for teams shipping AI agents into the real world.