Iterate on a Rossum deliverable (hook, formula, rule, schema change) against a specific annotation until a stated goal is met. Provides the re-fire primitives via MCP — soft re-fire (start → content/validate → cancel), status toggle, in-place re-extract,…
Rossum Master Data Hub (MDH) API reference and matching query design guide. Covers dataset CRUD, fuzzy search, hook configuration model (MatchConfig, mapping, result actions, query cascades), query design rules, score normalization, and real-world matching…
Verify that changes to a Rossum implementation preserve behavior. Captures a "before" snapshot of annotation outputs, replays the same documents against the upgraded implementation, and diffs the "after" outputs against the snapshot. Use after an upgrade,…
Rossum business-rules & validation reference — the two ways to validate extracted data and block automation: native Rossum Rules (the /v1/rules entity — trigger_condition + actions[], FIRE-vs-PASS polarity, lifecycle; the trigger_condition is written in…
Complete Rossum.ai platform reference including API, architecture, concepts, schemas, extensions, and workflows. Use when answering questions about Rossum, writing Rossum integrations, configuring queues/schemas/hooks, or working with the Rossum API.
Rossum field-expression reference for TxScript serverless hooks, native Rossum Rule trigger_condition expressions, and schema-field formulas. Covers (a) TxScript Python 3.12 API, (b) the native Rule trigger_condition expression language and the defensive…
Analyze a Rossum.ai implementation to detect common configuration errors and issues. Discovers the full implementation first, then checks for known problems. Use when reviewing a customer's setup for correctness. Triggers on requests like "check this…
Request Processor (export pipeline) configuration reference for Rossum. Covers the multi-stage JSON-based engine for integrating Rossum with external APIs — stages, variable templating, evaluate conditions, get_content sources, call_api with…