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AgentOps + sipi.bot

AgentOps tracks what your agents do — sessions, tokens, cost per run. sipi.bot decides whether a transaction may happen. Observability plus enforcement: the production stack.

What AgentOps does well

Session-level observability: traces, token counts, and cost per agent run.

Team dashboards for agent behavior and drift.

Strong for understanding what agents actually do.

Where a monitoring tool can't help

It reports cost after the fact — a chart of the $12,400 night doesn't stop it.

No pre-spend decision on a transaction in progress.

No merchant allowlist, approval queue, or rule enforcement.

How they compose

AgentOps for the picture; sipi.bot for the gate. Feed sipi.bot's audit log into AgentOps to correlate decisions with runs.

The stack

Agent  ->  sipi.bot (APPROVED/BLOCKED/FLAGGED, ~5ms)  ->  Payment rail
            |
            +-- audit log (rule, amount, reason)  ->  AgentOps dashboard

Observe with AgentOps, gate with sipi.bot.

FAQ

Do I need both?

Yes, ideally — observability tells you what happened; the firewall decides what may happen. They're different layers of the same stack.

Is sipi.bot a competitor to AgentOps?

No. sipi.bot doesn't trace sessions; AgentOps doesn't gate transactions. Complementary.

How do decisions reach AgentOps?

sipi.bot's audit log is queryable via API, so you can stream decisions into AgentOps for correlation.

Stop the next $12,400 night.

One API call (or MCP tool) in front of every agent transaction — APPROVED, BLOCKED, or FLAGGED, deterministic, ~5 ms, fully logged.

See plans — from $99/mo Try a live check