Live · 383 signals in the last hour

Every inbound message, read, scored and routed.

Offers, inquiries, partner requests and the noise around them arrive all day. InferAgent reads each one, checks who sent it, filters out spam and fraud, and hands the real ones to the team that should answer — then learns from what happened next.

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offer@ · 09:41 inquiry · 09:42 spam · 09:42 partner · 09:43 InferAgent classify · score sales support partners quarantine outcomes → learning
inbound → classify → score → route → learn
Healthy
Service status
383
Signals handled in the last hour
0
Errors in the last hour
2m
Since the last heartbeat
0.9.1
Running version
Live from inferagent.com/health · checked 2026-10-19 08:43 UTC · refreshed every minute
What it does

A front desk for everything that comes in.

Most inbound is noise, and the messages that matter get buried with it. InferAgent sits in front of the inbox and makes the first call on every message, so people only spend time on the ones worth answering.

01 · CLASSIFY

Reads every message

An AI model reads each inbound message and labels what it is — an offer, a question, a partnership request, or noise.

02 · SCORE

Checks who sent it

Every sender, domain and IP carries a reputation that builds over time. Spam and fraud go to quarantine instead of the inbox.

03 · ROUTE

Sends it to the right team

The real messages are routed to the team that owns them, with the reasoning recorded so every decision can be reviewed.

How it works

Every decision is logged, and every outcome teaches it.

Nothing disappears into a black box. Each step leaves a record, and what happens after a message is answered — or ignored — feeds back into how the next one is handled.

  • Classification — what each message is, and how sure the model was.
  • Reputation — sender, domain and IP history that sharpens with every message.
  • Quarantine — suspicious messages held aside, never silently dropped.
  • Routing — where each message went and why.
  • Learning — outcomes and feedback turned into proposed improvements, reviewed before they apply.
  1. A message arrivesFrom a site form, an email address or a partner — anywhere inbound can come from.
  2. It's read and labelledThe model decides what kind of message it is.
  3. The sender is checkedReputation decides whether it's trusted, held for review or quarantined.
  4. It's routedThe right team gets it, with the context they need to answer quickly.
  5. The outcome is recordedWhat happened next makes the next decision better.
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Put your inbound through it.

InferAgent runs today on a large network of ventures. If you'd like your own inbox triaged the same way, tell us a little about it and we'll be in touch.