Use case
Safe Postgres for autonomous workflows
Provision per-tenant scoped credentials in code, cap each agent with query budgets and a kill-switch, and wire anomaly and budget-exhausted webhooks into your incident pipeline. Containment is automatic, not a 3am dashboard refresh.
Autonomous agents act on a schedule, in a loop, without a human watching each step. A looping agent that runs up a customer's bill or a misbehaving one that touches the wrong tenant has to be contained by the system, not caught by a person. PgBeam gives each agent a scoped credential with hard budgets and a kill-switch, and fires webhooks so containment is automatic.
Provision and scope in code
Mint a per-tenant, per-role agent credential from the API or CLI at onboarding time, each bound to a policy: read or write mode, query-count budgets, max rows, and timeouts. No human in the dashboard to add a customer.
Strict per-tenant isolation means a credential minted for one tenant is structurally incapable of reaching another's data. Each gets its own scoped project and subdomain.
Contain automatically
Set query-count budgets per window so a looping agent hits a ceiling instead of a customer's primary. Trip a per-credential kill-switch from the CLI, or let anomaly detection trip it on a volume spike or off-hours drift.
Wire budget-exhausted, kill-switch-tripped, and anomaly webhooks, HMAC-signed, straight into your incident pipeline, so a misbehaving agent on one tenant is contained without a human refreshing a dashboard.
Provision in code
Mint scoped per-tenant credentials from the API or CLI at onboarding.
Query budgets
Cap queries per window so a looping agent hits a ceiling, not a customer's bill.
Kill-switch
Trip per credential from the CLI or automatically on anomaly detection.
Webhooks to your pipeline
HMAC-signed budget, kill-switch, and anomaly events for automatic containment.
Questions
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