All agents
MarketingFor marketing teamsIn build

Marketing Operations Agent

Data-quality scanning, dedupe proposals with match evidence, attribution reporting with the model always named, dashboards, and anomaly alerts with cause hypotheses. Never silently mutates source data.

Marketing data-quality score≥ 95%GoalSign up to run

How it works

Step 1
You provide
Paste your details
Step 2
Grounds
Retrieves & cites — no ungrounded claims
Step 3
Drafts
Schema-checked, code-assembled output
Step 4
You approve
Runs end-to-end; a human approves any outward action

Ask it like

check our marketing data qualityrun attribution for last quarter

Model & guardrails

  • Runs on MYAM shared · open 7B (Qwen) by default — you can point it at your own model.
  • Autonomy: Runs end-to-end; a human approves any outward action. Nothing leaves without a human’s approval.
  • Data: Internal data. Provenance is attached to every output.

Outcome

Marketing data-quality score
≥ 95%
Goalour goal — not yet measured on live runs
TargetEvalPlatformVerified

Fills in as real usage proves it — from a Target we set, to Eval-measured (passes our test suite), to Platform-measured (across ≥20 accounts), to Verified (customer outcomes).

Also tracked: Dedupe precision ≥ 0.95 · Unlogged writes = 0

Works well with