SafeParse

SafeParse is a reliability layer for AI pipelines that turns unstructured text into validated JSON. It is built for production workflows where an LLM can return the wrong shape, miss required fields, or produce output that would otherwise break downstream systems. The page describes it as handling “schema enforcement, auto-retry, and full observability” for these pipelines.

Its core functions are schema enforcement, smart retries, and tracing. Every model response is validated before delivery, with support for required and optional field enforcement, type checking for strings, numbers, booleans, arrays, and nested objects, and schema versioning. If validation fails, SafeParse can retry with failure context injected into the prompt rather than repeating the request blindly. It also records full traces for each request, including failure reasons, and allows requests to be replayed through updated schemas. The site also mentions a platform health dashboard, success-rate and latency monitoring, and pipeline alerts triggered before users notice degradation.

SafeParse is shown in use for invoice processing, email parsing, contract review, lead enrichment, transcript analysis, and document extraction. It supports OpenAI, Anthropic, and Google models with fallback between them, and it connects with Zapier, Make, n8n, any HTTP client, and webhooks. The product also describes callback-based delivery, where validated JSON is sent onward while the pipeline continues.

Access is through an app builder at app.safeparse.com/builder, and the page describes early access and a waitlist. It also says the system can be used with zero config and that users can post text and get JSON. No pricing or license details are given on the page.