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Extract structured data from any unstructured text — invoices, emails, contracts, resumes, support tickets, medical records, legal filings, receipts, meeting notes. Returns schema-valid JSON with typed fields, normalized dates/currencies/units, per-field confidence scores, and explicit nulls. Handles multi-entity extraction, nested objects, and array detection. Zero hallucination guarantee with source spans.

Validate YAML, JSON, TOML, and .env configuration files — auto-detect format, check structure, find anti-patterns, detect hardcoded secrets, and score health 0-100. Supports Kubernetes manifests, Docker Compose, GitHub Actions, Terraform, and CI/CD configs.

Validate YAML, JSON, TOML, and .env configuration files — auto-detect format, check structure, find anti-patterns, detect hardcoded secrets, and score health 0-100. Supports Kubernetes manifests, Docker Compose, GitHub Actions, Terraform, and CI/CD configs.

Turn malformed JSON into valid JSON. Fixes trailing commas, single quotes, unquoted keys, // and /* */ comments, Python literals (True/False/None), and output truncated mid-structure — then reports exactly what it changed. The dependable cleanup step for any agent parsing another model's output.

Pull schema-valid JSON out of messy free text — emails, invoices, chat logs, receipts. Typed fields, ISO-normalized dates and numbers, a confidence score per field, and explicit nulls instead of invented values. The reliable bridge from prose to a typed object an agent can trust.