OpenServ

What is OpenServ?

OpenServ is agent infrastructure for enterprises that need AI decisions they can trust and audit. Its SERV Reasoning API sits in front of models from OpenAI, Anthropic, and Google, turning each request into a structured graph of validated steps. Teams can also build agents and multi-agent workflows in a no-code builder.

Top Features:

• Drop-in API: change one base URL and keep your OpenAI or Anthropic code.
• Audit dashboard: track each decision, cost, and step your agents take in production.
• No-code builder: design single agents and multi-agent workflows on a visual canvas.

Use Cases:

• Regulated workflows: run agents in banking or government where decisions need records.
• Cost reduction: pair a smaller model with structured reasoning for bigger-model quality.
• Agent automation: connect agents to X, Telegram, and MCP servers for multi-step tasks.

Who Can Use OpenServ?

• AI teams: make production agents more reliable without rewriting existing model integrations.
• Developers: build custom agents fast with the open source TypeScript SDK.
• Regulated sectors: keep a full audit trail for AI decisions under compliance review.

Pricing

• Pay as you go (from $0.13 per million tokens): buy prepaid credits that cover model calls and reasoning together.
• Frontier models ($6.50 in, $39 out per million): rates for GPT-5.5 and other top models, with reasoning included.
• AWS Marketplace (invoiced): billing through AWS for teams that prefer invoices over credits.

Pros and Cons

Pros:

• Production proof: runs live in UAE government workflows and publishes its research openly.
• Built-in checks: shadow agents and prompt guards catch bad outputs and injections.
• Many models: one endpoint reaches GPT, Claude, and Gemini with shared billing.

Cons:

• Credits required: you must buy prepaid credits before sending any API requests.
• Crypto ties: the roadmap ties the platform to a SERV crypto token.
• Token markup: prices include the reasoning layer, so they exceed direct provider rates.

FAQs:

1) Do I need to rewrite my code?

No, you only change the base URL and API key.

2) Which models are supported?

Models from OpenAI, Anthropic, and Google, all through one SERV endpoint.

3) Can non-developers build agents?

Yes, the no-code builder creates agents and workflows on a visual canvas.

4) How is usage billed?

Each request deducts model and reasoning costs per token from prepaid credits.

5) What research backs it?

It builds on the BRAID paper, using bounded reasoning graphs instead of free-form chains.