Logic
Logic turns plain-English specs into tested, versioned, production-ready AI agents exposed as typed REST APIs, web UIs, and MCP servers.
At a Glance
About Logic
Logic, Inc. offers a platform where users write a natural-language spec and get a deployed AI agent with a typed API endpoint. According to the vendor, an agent can go from spec to production in about 60 seconds. Each agent comes with testing, versioning, model routing, and execution logging.
What It Is
Logic is an agent-building and hosting platform built around specs instead of flowcharts or SDKs. A spec describes the agent's behavior, inputs, and outputs. Logic infers schemas and orchestration logic from it and builds the agent. It accepts text, PDFs, images, CSV/JSON, and audio, and includes built-in web browsing and research. Starter templates include a contract clause analyzer, entity matcher, invoice and PO data extractor, PII redactor, resume screener, support ticket classifier, and product listing moderator.
Testing and Versioning
Every spec save generates synthetic test scenarios (the features page lists 10 per agent) covering edge cases and boundary conditions. Tests can also be written by hand or promoted from production executions. Results show Pass, Fail, or Uncertain statuses with field-level deviation detail. Published versions are immutable and can be compared side by side, pinned, or rolled back in one click. Optional approval workflows let domain experts propose spec changes and engineers approve them.
Deployment and Model Routing
Saved agents are available as:
- a REST API with bearer-token authentication and strictly typed inputs and outputs
- a shareable auto-generated web UI
- an MCP server for tools such as Claude, Cursor, and ChatGPT
- batch runs over CSV files
- a per-agent email trigger
Logic routes requests across OpenAI, Anthropic, Google, and Perplexity models based on task complexity, latency, and cost, with automatic failover. It also supports a model override, opt-in execution caching, and dynamic learning that retrieves similar past runs as few-shot examples.
Observability and Security
Every execution is logged with inputs, outputs, reasoning, and latency, alongside an audit trail of spec changes, test runs, and publishes. Logic states it is SOC 2 Type II and HIPAA certified, does not train on customer data, and offers SAML, SCIM, role-based access control, BYOK, and a 99.9% uptime SLA.
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Pricing
Free
Prototype and test your first agents
- Limited usage
- Unlimited users
- Up to 5 agents
- 10 MB storage
- 7-day log retention
Pro
Ship production agents your team depends on
- $49 of included tokens
- Overages at API pricing
- Unlimited agents
- 1 GB storage
- 30-day log retention
- Email support
- SOC 2 Type II
- 70M dedicated monthly tokens
- Additional usage $1 per 1.4M tokens
Scale
Run production agents across your organization
- $299 of included tokens
- 25 GB storage
- 90-day log retention
- SSO and SCIM
- Slack support
- Hands-on onboarding and deployment
- 430M dedicated monthly tokens
- Additional usage $1 per 1.4M tokens
Enterprise
Built for organizations at scale
- Custom token volumes tailored to your usage
- SCIM provisioning
- Single Sign-On (SSO)
- HIPAA compliance for healthcare workflows
- Dedicated Slack channel for priority support
- Hands-on onboarding and training
- Priority feature requests
Capabilities
Key Features
- Natural-language agent specs
- Multimodal inputs (text, PDFs, images, CSV/JSON, audio)
- Synthetic test generation and regression detection
- Immutable versioning with one-click rollback
- Approval workflows for spec changes
- Auto-generated typed REST API
- Auto-generated shareable web UI
- MCP server exposure
- Batch processing of CSV datasets
- Email trigger for agents
- Automatic model routing and failover
- Execution caching
- Dynamic learning from past executions
- Execution history and audit logs
- SOC 2 Type II and HIPAA compliance
- SAML, SCIM, and role-based access control
Integrations
Demo Video

