Browse skills

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.

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.