Compare a private schema against a public profile.
Detect missing required fields, vendor-only fields and unsupported assumptions before enterprise review.
ActProof is for people building, reviewing or operating machine-readable regulatory workflows where field-level source traceability matters.
It is not another GRC dashboard. It sits beneath dashboards, agents and reporting systems: a source-bound profile layer that tells users where each field came from, what evidence it expects, and what the system refuses to claim.
Use ActProof when the question is: “Which required fields are missing, which fields are interpretive, and what evidence should be behind them?”
DORA reporting creates structured fields, templates and timing obligations. The market is already crowded with workflow tools, but compliance teams still need a source-bound layer beneath the workflow: a way to see field origin, evidence expectation and readiness before formal verification or submission.
Use ActProof when your product has DORA fields, but your buyers will ask where those fields came from.
Most platforms can create input forms. Fewer can show whether a field is template-cell bound, only contextually derived, or still provisional. ActProof can act as a reference layer: compare your schema, explain a field, or use the generated JSON to feed your own frontend.
Detect missing required fields, vendor-only fields and unsupported assumptions before enterprise review.
Use source atoms, derivation notes and review gates to explain fields in product documentation.
Expose ActProof profile data through REST or MCP instead of asking a model to infer regulatory structure from prose.
ActProof is useful when a reviewer does not want to accept a regulatory profile on trust. The profile can be inspected as a set of objects: source atoms, field derivations, review status, evidence labels, hashes and non-claims.
The agent should not guess where a field came from. It should call the source-bound profile.
ActProof fits teams building compliance copilots, internal review agents or AI-enabled reporting assistants. The package exposes explain, coverage, lint and prevalidation surfaces that make regulatory context callable rather than hidden in prompt text.
MCP TOOL PATH 1. explain_field_source → why this field exists, source atoms, review status 2. source_coverage → required template-field coverage, optional contextual derivations 3. lint_report → missing required fields, unknown fields, high-attention fields 4. prevalidate_report → blocked / attention_required / ready_for_preverification boundary: pre-validation only; not compliance certification
MCP creates a standard way for AI systems to connect to tools and data sources. ActProof provides a regulatory grounding tool surface where every answer can point back to the profile object and its source atoms.
ActProof can support open profile work where many organisations would otherwise recreate the same regulatory map in private. A profile can remain open, challengeable and versioned while still being useful to commercial systems.
This page should filter as much as attract. ActProof is infrastructure for source-bound regulatory profiles and pre-validation. It is not a replacement for the operational systems around it.
ActProof field IDs are canonical inside an ActProof profile, not universal names for every bank, vendor or regulator-facing system. The point is to map external schemas against a source-bound reference, not force the market to adopt ActProof names.
Start with the live DORA profile, then choose the path that fits your role: lint a draft, compare a schema, verify a profile, or build against the JSON.