Rekvira: EU regulation pinpoints for compliance AI

Connect. With no arguments: the keyless trial — no email, no key; returns trial_id for record_assessment / list_assessments and the private playbook tools. Call start_here next. With the user's email and the language you speak with them (e.g. 'en', 'de', 'lt'): sign in to a free account that keeps their assessments and playbooks across chats. Rekvira sends ONE email in that language with a Confirm link and a six-digit code, valid 15 minutes, and returns request_id. Tell the user to click Confirm; then IMMEDIATELY call connect_verify(request_id) — it waits for the click. Nothing is charged and no card is needed.

Finish signing in. Call it RIGHT AFTER connect(email) with the request_id and no code: it waits up to 45 s for the user to click Confirm in the email and returns as soon as they do (if it returns waiting, call it again — do not ask the user to report the click). If the user reads you the six-digit code, pass it as code. Pass the trial_id you already have and the keyless work moves into the account. Returns a rek_ key (shown once) and a `session` value to pass on later calls.

Delete one private workflow for this trial_id. It cannot delete a shipped playbook or a draft owned by another trial.

Full step-by-step playbook for one workflow id from list_workflows. Follow the named tools (search_regulation, read_unit, verify_citation, …) rather than summarising the playbook.

List this trial_id's recorded assessments, newest first. Pass the trial_id from connect(). Use when resuming a multi-week DPIA or applicability review. Never invent rows for another trial.

List regulations in the registry and whether corpus JSON is loaded. Then search_regulation, search_regulations, or list_workflows for a named process.

Playbook library for compliance-officer workflows — high-risk triage, DORA ICT review, cross-reg scans, vendor questionnaires. Read a playbook before improvising a process. Pass trial_id from connect to list your own private drafts beside the shipped library. Then call get_workflow with workflow_id from this list.

Articles whose official title names a role as an obligation addressee (e.g. role='deployer', optional system_class='high-risk'). Heading index, not annotated metadata — then read_unit the article. role accepts the word a title uses (deployer, provider, importer, operator, authorised representative, controller, processor, joint controller, data subject, or supervisory authority on gdpr). notified body on eu-ai-act returns Arts 34/45. Read also_named (Arts 31 through 38) for related titles without 'obligation'. When result_count is 0, read also_named before concluding none match (e.g. Arts 22/54 on eu-ai-act authorised representative; Arts 63/94 on eu-ai-act operator; Arts 29/39 on eu-ai-act conformity assessment body; Arts 76/77/85 on eu-ai-act market surveillance authority; Art 100 on eu-ai-act union institution; Arts 53/55/88 on eu-ai-act GPAI provider / general-purpose AI provider / provider of general-purpose AI models; Arts 13/14/21/22 on cra manufacturer / manufacturer of products with digital elements; when also_named is empty read heading_note and use search_regulation; Arts 24/26/27/29/79 on gdpr controller; Arts 27/28/29/79 on gdpr processor; Art 26 on gdpr joint controller; Arts 12/13/14/15/34/80 on gdpr data subject; Arts 31/33/51/53/54/56/60/62/77/78 on gdpr supervisory authority; Art 32 on nis2 essential entity; Arts 3/33/34 on nis2 important entity; Arts 23/31 on dora provider; Art 31 on dora ict third-party service provider; on dora financial entity or operator also_named is empty — read heading_note and use search_regulation for body mentions (Arts 28/30 for ICT third-party context); Art 18 on cra authorised representative). Then read_unit each article — the index is not a complete duty set.

Mark one of this trial_id private playbooks ready or draft. Publishing is private state only; it never adds content to the shipped library or another trial.

Read one citable unit by kind and number or label. Articles return aggregated paragraph text. Paragraphs repeat across articles — pass article= (e.g. 6 or '6') to disambiguate. number, label and article accept JSON numbers or strings. read_unit also takes a result row's pinpoint verbatim: pinpoint='Article 6(1)' resolves kind and number for you. Then verify_citation if checking someone else's pinpoint.

Record one structured applicability verdict on a regulation pinpoint for this keyless trial_id (from connect). Verdicts: applicable | not_applicable | needs_review | deferred. Optional reason codes only — never free-text notes. Re-recording the same regulation+pinpoint overwrites. Assessments annotate; they never hide search or read results. Call after the officer states applicability.

The signed-in account: action='status' (default: email, what is kept, keys), 'plan' (what the free beta includes: the keyless trial and the free account; nothing is charged), 'usage', 'keys' (list; never the key itself), 'revoke_key' with key_prefix, 'export' (everything held), 'delete' with confirm_email=<the account email> (mails a confirmation link; deletion happens on the click). Not signed in: says how to sign in, and 'plan' still shows what the free beta includes.

Save or update one private compliance playbook for this keyless trial. It stays inside this trial_id; call publish_workflow only to mark it ready here, never to share it with another user.

Search held regulation text. Returns pinpoints and excerpts, not summaries. Requires regulation id (e.g. eu-ai-act) and query string. limit, detail (compact|full) and max_chars bound the response. Then read_unit on the best pinpoints; verify_citation if checking someone else's cite.

Search all loaded regulation modules in one call, ranked by relevance across them. Use when the question names more than one act or you do not know which act holds the answer. limit, detail (compact|full) and max_chars bound the response; per_regulation_min gives each act a share of the page. Each hit carries its regulation id — then read_unit per regulation.

Orientation for this corpus right now — which regulations are loaded, unit counts, data_as_of, what is not held, and first-call hints per module. Built from the loaded corpus at call time. Cheap: one call, no quota. Then list_regulations, search_regulation, or list_workflows.

Send feedback about Rekvira to the team that builds it: a bug, a wrong answer, missing data, a missing feature, a workflow idea, or praise. Every item is read by a person. When to offer it: an answer came back empty or wrong; the user corrected you or the result; a workflow was missing a step the user needed; the user repeats a manual step the service could do for them; the user says they need something the service does not do. Offer once, in one sentence; the user's task comes first. Ask first. Show the user what you will send and send it only after they agree. Their own words, and any client, case, company or personal detail, go only with their explicit OK; then set confirmed=true. With authored_by='agent' you may report your own observation of the service (the tool, what you expected, what came back) without asking, as long as it holds none of the user's words or confidential content. Fill kind and what (the task, and what went wrong or what is needed). For a wrong answer add expected and got. Add tool and query for context (the query only with the user's OK), severity, and contact_email only when the user wants a reply. The reply carries a reference id. Tell the user it reached the team; do not promise a reply or a date.

Verify a citation someone else produced — does the pinpoint exist in held text, and optionally does the quote appear. Pass the cite as written (e.g. 'Article 6(1) EU AI Act') plus optional quote=. Then read_unit for full text. regulation= disambiguates when the cite omits the act name; returns regulation_mismatch when the cite embeds YYYY/NNNN for a different act.

Who is calling: tier, trial state, corpus load count. Pass trial_id from connect() to confirm the handle used for assessments and private workflows. After connect, call start_here or list_regulations.