TARA — Regulatory Change to Action

Prototype scope: TARA uses controlled regulatory-source snapshots and synthetic prepared cases. It is not legal, tax, immigration, or filing advice. A qualified professional must review any real-world action.

TARA is a regulatory change-to-action prototype. It turns a versioned source change into a cited, case-specific action and verifies the evidence used to close that action.

flowchart LR
    A[Source version changes] --> B[LLM discovers guarded MCP tools]
    B --> C[TARA compares source text and case facts]
    C --> D{Required facts present?}
    D -- No --> E[Return indeterminate; ask for review]
    D -- Yes --> F[Create a dated, owned action]
    F --> G{Evidence exact?}
    G -- No --> H[Return with a reason]
    G -- Yes --> I[Close and preserve the proof trace]

What the prototype demonstrates

The included Maeve scenario uses controlled Revenue guidance in which a Section 4.3 rate changes from 41% to 38% for relevant events on or after 1 January 2026. TARA preserves both source versions, selects the applicable version from the event date, creates a dated action, returns a superseded 41% calculation, accepts the exact 38% calculation, and records the process in a hash-linked trace.

The browser uses an LLM as an MCP client. The model discovers the available tools and sequences the investigation. Deterministic Python controls own source comparison, effective-date selection, threshold checks, arithmetic, action ordering, and evidence outcomes. Missing material facts produce indeterminate; they do not create an invented action.

Related MCP server: SEBI Compliance MCP System

Current implementation

Run locally

python -m venv .venv
source .venv/bin/activate
pip install -e '.[dev]'
pip install -r demo/requirements.txt

pytest -q
python -m uvicorn demo.api:app --host 127.0.0.1 --port 8000

Open http://127.0.0.1:8000 to run the browser demo. Set OPENAI_API_KEY in the server environment to enable the LLM-first path. Without it, the demo clearly uses its deterministic control path.

Repository map

domains/                   cited rules, scope, triggers, and evidence contracts
data/sources/              controlled source snapshots
registers/                 synthetic holder register and source registry
tara/                      agents, deterministic pipeline, MCP server, and orchestration
demo/                      FastAPI adapter, browser UI, presets, and replay support
tests/                     unit, integration, safety, and end-to-end coverage
tools/                     developer utilities and clean public-release builder
docs/connecting-ai-clients.md  local MCP client integration guidance

MCP server

Run the local MCP server over stdio:

python -m tara.cli serve

TARA exposes twelve tools: domain, source, and holding discovery; source-change detection; obligation decomposition and versioning; applicability and gap checks; action planning; evidence verification; cross-border consolidation; and trace reconstruction.

For local client configuration, see Connecting an AI client to TARA's MCP server.

Operational boundaries

TARA does not claim continuous source retrieval, comprehensive legal coverage, independent professional sign-off, production identity or tenancy controls, durable production storage, or regulator acceptance of an artefact. Do not submit real personal, legal, tax, immigration, financial, or filing data to the public demo.

License

TARA is released under the MIT License.