New$250 in free credits for every Harbor user — code HARBOR250

Reliable sandboxes for AI benchmarks.

Harbor-native sandboxes with gateway-enforced anti-cheating, credential isolation, and full audit trails per task.

terminal
$ harbor run \
--dataset terminal-bench@2.0 \
--agent claude-code \
--model anthropic/claude-opus-4-7 \
--env islo \
--n-concurrent 300
Gateway profiles

Per-sandbox network rules. Control what agents can reach by host, path, method, and rate limit.

gateway.rule
host api.github.com
path /v1/*
action allow
methods GET, POST
rate 100 req/min
Content filters

Scan response bodies for leaked answers. If an agent fetches a solution, the gateway blocks it.

gateway.log
GET github.com/repo/issues/418
200 body received
"def solve(puzzle): …"
✗ BLOCKED — content filter match
Credential injection

Agents get access, never keys. Secrets are injected by the proxy and stay out of trajectories.

inject.yaml
match api.openai.com
header Authorization
value {{ secrets.OPENAI_KEY }}
IsloDIYDaytonaModalOthers
Snapshot-based environments
Instant resets — no cold starts
partial
Gateway profiles
Per-sandbox network policies, host/path rules, rate limits
Content filters
Inspect response bodies — stop agents from fetching leaked answers
Credential injection proxy
Inject secrets without exposing them to agents
Cost limits per run
Cap spend per task — no runaway budgets
Zero infra to maintain
Fully managed — no orchestration to operate
compute pricing
CPU Time
$0.07/CPU-hour
Memory Time
$0.04/GB-hour
Storage Time
$0.0007/GB-hour
Example: 500 tasks on SWE-bench-verified (~10 min avg)
CPU
$23.33
Memory
$3.33
Storage
$0.12
Total / task
~$26.78 / $0.054

Stop building infra. Start shipping evals.

$15K credits for startups/academic →
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