The control layer for how your company uses AI.
MonsterCloud routes and governs every model call, turns it into on-brand content, and connects the result to search performance — in one auditable platform.
- Avg. model cost reduction
- 38%
- Added gateway latency (p95)
- 12 ms
- Uptime, trailing 90 days
- 99.98%
- Data used for training
- None
| Time | Source | Model | Policy | Tokens | Latency | Cost |
|---|---|---|---|---|---|---|
| 11:42:08 | content-studio | claude-sonnet | pass | 3,812 | 1.9s | $0.021 |
| 11:42:07 | support-bot | claude-haiku | cache hit | 640 | 38ms | $0.000 |
| 11:42:05 | crm-sync | claude-sonnet | pii redacted (2) | 1,204 | 0.8s | $0.007 |
| 11:42:04 | seo-engine | claude-haiku | pass | 2,290 | 0.6s | $0.003 |
| 11:42:01 | internal-agent | claude-opus | blocked: budget | — | 4ms | $0.000 |
Used in production by teams at
Three products on one foundation.
Content and SEO run on the same Gateway your engineers use, so every generated word inherits your routing, privacy and budget rules automatically.
01
AI Gateway
One API for Claude and 40+ models. Routing, fallbacks, caching, budgets and full request logs.
Explore Gateway →02
Content Studio
Briefs, drafts and reviews grounded in your own documentation, with citations and approval steps.
Explore Content Studio →03
SEO Engine
Keyword clustering, SERP gap analysis and Search Console data that decide what Content Studio writes next.
Explore SEO Engine →How teams roll it out
Most customers start with the Gateway in week one and connect Content and SEO once policies are in place.
- 1
Point your SDK at the Gateway
Change the base URL. Existing Anthropic and OpenAI-compatible code keeps working.
- 2
Define policies and budgets
PII redaction, allowed models, per-team spend limits and retention settings.
- 3
Connect your site and Search Console
SEO Engine maps topic gaps; Content Studio drafts against your knowledge base.
- 4
Review, publish, measure
Human approval before publishing, then cost-per-article and clicks in one report.
A one-line change for engineers.
No new SDK to learn. Policies are set per request via headers or centrally in the dashboard.
- —Automatic retries and provider fallback
- —Exact and semantic response caching
- —Streaming, tool use and batch support
- —Logs exportable to Datadog, S3 or your SIEM
from anthropic import Anthropic
client = Anthropic(
base_url="https://gateway.monstercloud.ai/v1",
api_key=os.environ["MONSTERCLOUD_KEY"],
default_headers={
"mc-policy": "pii-redact",
"mc-fallback": "claude-haiku",
},
)
client.messages.create(
model="claude-sonnet",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)Security reviewed, not just claimed.
We publish our controls, subprocessors and incident history. Your prompts and outputs are never used to train models — ours or anyone else’s.
Visit the trust center- SOC 2 Type II
- Annual audit by an independent firm. Report available under NDA.
- GDPR and KVKK
- EU (Frankfurt) data residency and a standard DPA.
- Encryption
- AES-256 at rest, TLS 1.3 in transit, customer-managed keys on Enterprise.
- Zero data retention
- Optional mode where request bodies are never written to disk.
“We moved four AI vendors behind MonsterCloud and cut our model spend by 46% in the first month. More importantly, our security team finally signed off on using LLMs with customer data.”
Elif Kaya
CTO, Vectra
Start with the Gateway. Free for 14 days.
No credit card. Bring your own model keys. See pricing.