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Burnwatch

Spend monitoring for AI agents

For developers building AI agents that make autonomous payments

AI agents on x402 and stablecoin rails can make hundreds of payments a minute with no human in the loop. Burnwatch is a smoke detector for those wallets — it mirrors payment metadata (amount, recipient, rail, timestamp), learns each agent's normal behavior, and fires alerts on velocity spikes, drain bursts, unknown payees, new rails, off-hours spend, and more. Observe-only by design: never touches keys, never sits in the payment path.

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Real-time alerting

Velocity spikes, drain bursts, unknown payees, new rails, off-hours spend — 13 transparent detection rules.

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Observe-only

Never touches keys or sits in the payment path. If Burnwatch goes down, your agent keeps paying.

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Explainable detections

Every alert includes human-readable evidence JSON — no black-box ML, no mystery flags.

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One-line SDK setup

pip install burnwatch, then one record() call after each payment. Works with x402, stablecoins, and custom rails.

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Learned baselines

Agents enter a warm-up period before rules fire. The system learns what normal looks like before raising alerts.

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Multi-tenant dashboard

Fleet view, per-agent spend charts, alert management, and audit log — all scoped to your org.

  1. 01
    Sign up and get a token

    Create a free account at burnwatch.dev, then generate an ingest token in Settings.

  2. 02
    Add the SDK

    pip install burnwatch, then call bw.record() after each agent payment. Send a test event to verify the pipeline.

  3. 03
    Get alerts

    Burnwatch learns your agent's normal spend and fires alerts when something looks wrong — email, Slack, or webhook.

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Python SDK + ingest API

pip install burnwatch, then bw.record() after each payment. Events POST to a multi-tenant ingest endpoint scoped by org token — never in the payment path.

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Rule engine with warm-up

13 transparent detection rules (velocity, drain burst, unknown payee, new rail, off-hours). Agents enter a warm-up window before alerts fire so baselines learn normal first.

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Evidence-first alerts

Every alert ships human-readable JSON evidence — no black-box scores. Dashboard shows fleet spend, per-agent charts, and audit log scoped to your org.

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Observe-only architecture

Burnwatch mirrors metadata only. If ingest goes down, agents keep paying — the SDK fails open on the agent side and queues locally.

Free $0/mo

2 agents, 10k events/mo, all detection rules

Pro $19/mo

20 agents, 100k events/mo, Slack + Discord alerts

Team $49/mo

Unlimited agents and events, + Microsoft Teams

Burnwatch observability architecture