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AgentRail Spend Gateway

The sub-cent financial firewall and budget coordinator for autonomous AI agents and multi-agent swarms.

When autonomous agents run in parallel (Fan-Out workflows, swarm collaboration, research loops), traditional cloud gateways fail to enforce budgets during concurrent bursts. AgentRail enforces atomic, pre-flight budget guarantees at the edge.

Zero-Overshoot Guarantee

Atomic pre-flight reservations in SQLite Durable Objects guarantee that spending never exceeds your hard budget (0.00% overrun).

Smart Top-Up (HITL)

Halts processes in an INSUFFICIENT_FUNDS state without terminating the agent thread, allowing operators to increase budget in flight.

Edge Speed (<10ms Overhead)

Deployed across Cloudflare Workers globally. Ingress admission checks complete in single-digit milliseconds before touching LLM networks.

Drop-In Proxy Compatibility

Fully compatible with standard OpenAI, Anthropic, and OpenRouter SDKs. No custom client libraries needed — just override base_url.


Empirical Benchmark: Cloudflare vs AgentRail

Section titled “Empirical Benchmark: Cloudflare vs AgentRail”

In an empirical test under identical $0.0500 USD budget limits and a 180-request concurrency burst:

Metric Cloudflare AI Gateway AgentRail Gateway
Configured Budget $0.0500 USD $0.0500 USD
Concurrent Requests 180 requests 180 requests
Admitted (Dispatched) 180 (100.0%) 50 (27.8%)
Blocked at Ingress 0 (delayed cutoff) 130 (72.2%)
Actual Incurred Spend $0.1034 USD $0.0500 USD
Budget Overshoot +106.8% OVERRUN 0.00% (Zero-Overshoot)
Enforcement Mechanism Post-Hoc / Eventual Pre-Flight ACID