Adverse Action & Fair Lending Explainability
In build
Generate legally specific adverse action reasons under ECOA and Regulation B, converting model-driven credit decisions into the principal-reason narratives the CFPB demands.
To be confirmed.
TBC
The decision, and the evidence it returns
Every call returns the outcome, a certainty factor, a fact identifier and the full evidence tree: the rules that fired, the facts they used and the reasoning that joined them. Backward chaining means the reasoning engine only asks for the data it needs.
Rainbird accelerators produce precise, deterministic and fully auditable decisions without calling an LLM for judgement, and each one can be pivoted to your policy and integrated over API or MCP.
What ships when available
This accelerator is in build. Register interest and you get the whole pack on the day of release.
Rainbird Graph (.rbird)
For importing into your Rainbird account.
Documentation
Verification report and integration guide.
Performance Report
Query performance and per-scenario latency.
MCP endpoint
Connect this knowledge graph to agentic platforms over MCP.
Core Evals
Pure inject-query-assert studio tests.
Adversarial Evals
Adversarial tests that stress the decision boundary.
Demo Interface
A demo interface to test the accelerator.
Demo Video
A demo video to explain the functionality.
This accelerator is open source under the MIT licence. It encodes public regulation, policy and research. You are free to download, inspect, adapt and redistribute the knowledge graph, its test suite and its documentation. Running it in production, with evidence trees, versioning and support, requires a Rainbird commercial licence.
Bring us the decision and we will build the graph
Contact us to discuss your decision use case.