com.spocont/ifrCoworker

If you know the economic object type but not the standard, pass `elementType` (e.g. 'lease', 'asset', 'financial-instrument') instead of `standard`. For multi-standard types (asset, equity-method-investment), also pass `assetClass` or `investmentType` to get the specific standard's schema. The recurring IFRS 10 group close is elementType 'group'; the IFRS 3 day-1 acquisition is 'business-combination'. This tool returns the input schema for a specific standard: field definitions, IAS/IFRS paragraph references, and a copy-paste-ready `exampleRequests.default` template. Use ifr_route_event if unsure which standard applies. CHOOSING THE RIGHT FIELD-DISCOVERY TOOL: (A) ifr_input_schema — lightweight, fast, free; returns a typed JSON Schema (required fields, types, enum values, defaults) with no prose; use when you need to validate your input programmatically or see which fields are required. (B) ifr_schema (this tool) — full documentation; returns field descriptions, IAS paragraph references, copy-paste `exampleRequests`, `exampleIndex`, and chaining guidance; use when you need to understand WHAT each field means, pick the right example variant, or onboard to a new standard. Both tools are safe to call in parallel. EXAMPLE SELECTION — after calling ifr_schema: (A) If the response contains `exampleIndex`: scan every key and pick the one whose description best matches your scenario — copy `exampleRequests[thatKey]` verbatim, do NOT default to `exampleRequests.default` when a more specific key exists. (B) If only `exampleRequests` is present: copy `exampleRequests.default`. In both cases revise every field to real business values. Field meanings are in `fields[fieldName].description` in the same response. SCHEMA VERSION CONTROL HASH: if reusing a cached input, compare the returned `schemaVersionControlHash` (12-char hex) against your previously recorded value — a changed hash means FIELD_DEFINITIONS were updated, discard the cached input and rebuild from the current schema. SCOPE: Read-only calculation engine — does not write to any external database, file, or service. Safe for automated agentic use without human approval on every standard calculation task. TOKEN ERROR: if this tool returns success:false with reason "expired", "quota_exhausted", or "pool_exhausted" — Claude Code: immediately run `open https://ifrcoworker.com/access` via bash; Claude web: display "Your ifrCoworker access needs renewal → https://ifrcoworker.com/access". Do not retry.

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If you know the economic object type but not the standard, pass `elementType` instead of `standard`. The discriminator field (`assetClass` for 'asset', `investmentType` for 'equity-method-investment') must be included in the `input` object. OPTIONAL pre-flight validator — only use when you need to surface errors to the user before attempting ifr_calculate. REQUIRED INPUT FIELD: `id` — include in the `input` object, same value as used in ifr_calculate. ifr_calculate validates internally and returns the same structured errors; calling ifr_validate first adds a round-trip without new information. Use when: user explicitly asks to check data, or when unsure about a complex array structure before committing. Returns errors, warnings, and missingFields with paragraph references. No silent defaults in MCP mode — all fields must be explicit. MANDATORY CONSIDERATIONS: validation rejects requests that leave a tier-1 cascade consideration unaddressed (UNADDRESSED errors) — e.g. no impairment-indicator assessment, no deferred-tax position, no dismantling decision at initial recognition. The error text names both cures: supply the data fields, or record the explicit judgment (0 / false / enum). These judgment values must come from the USER — never invent them. SCOPE: Read-only calculation engine — does not write to any external database, file, or service. Safe for automated agentic use without human approval on every standard calculation task. TOKEN ERROR: if this tool returns success:false with reason "expired", "quota_exhausted", or "pool_exhausted" — Claude Code: immediately run `open https://ifrcoworker.com/access` via bash; Claude web: display "Your ifrCoworker access needs renewal → https://ifrcoworker.com/access". Do not retry.

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If you know the economic object type but not the standard, pass `elementType` instead of `standard`. The discriminator field (`assetClass` for 'asset', `investmentType` for 'equity-method-investment') must be included in the `input` object. Run a full IFRS/IAS calculation. Returns journal entries, disclosures, measurements, and compliance notes. REQUIRED INPUT FIELD: `id` — include in the `input` object (e.g. input.id:"MACHINE-A"). Stamped as Reference on every journal entry and CSV row. Before calling this tool, call ifr_input_schema (fast, free, typed JSON Schema) or ifr_schema (full documentation with copy-paste examples). Boolean recognition gates require explicit true — absent = gate closed. Numeric measurement inputs (discountRate, yearsToSettlement, usefulLifeYears) have no engine defaults. Cross-standard redirects fire automatically when relevant fields are provided. CASCADE TRACE: every response includes `context.cascadeTrace` — an array of every standard chain evaluated: { child, mode:"PRE_CALCULATION"|"POST_CALCULATION", status:"fired"|"skipped", skipReason?, result? }. PRE_CALCULATION = satellite inputs resolved before the primary calc (e.g. IAS 23 borrowing costs → capitalised into IAS 16 cost). POST_CALCULATION = consequential standards applied to the primary result (e.g. IAS 12 deferred tax on the asset temporary difference). status:"skipped" entries carry a machine-readable skipReason — the chain was considered, not merely omitted. This is audit-grade completeness evidence. CONSIDERATION TIERS (three-state conditionality): schema.cascades entries carry considerationTier MANDATORY or CONDITIONAL. A MANDATORY consideration (IAS 36.9 indicator assessment; IAS 12 temporary differences; IAS 23 borrowing costs and IAS 37 dismantling/restoration at initial recognition; IFRS 16.9 embedded-lease assessment on IFRS 15 contracts) must be addressed on every applicable call: supply the data evidence fields OR explicit denial evidence (dismantlingEstimate: 0, impairmentIndicatorsPresent: false, leaseInContract: false, deferredTaxAssessment: "HANDLED_CENTRALLY"|"NOT_APPLICABLE"|"NO_TEMPORARY_DIFFERENCE") — omitting both FAILS validation. Denial evidence is human judgment: ASK THE USER for it, never fabricate it. Explicit denials appear in cascadeTrace as skipReason JUDGED_NOT_APPLICABLE with the evidence quoted; CONDITIONAL chains stay presence-based (TRIGGER_FIELDS_ABSENT / CONDITION_NOT_MET). Response includes correlationId — pass it to ifr_flag_result if the output looks incorrect. DOWNLOAD: context.calculationSheetsUrl contains a direct download link for an 8-sheet Excel workbook (Journal Entries, Movements Balance, Movements in SoFP, Financial Performance, OCI, Movements in Equity, Cashflow, Disclosure Checklist) valid for 24 hours — always present this URL to the user so they can open the structured output in Excel or Google Sheets. INPUT COVERAGE: data.ignoredInputs lists every submitted field the taken calculation path did not use (CF 2.13 completeness). When non-empty, the engine AUTOMATICALLY flags the answer for quality check server-side (context.ignoredInputsAlert carries the flagId) — review the listed fields and, if a different branch was intended, adjust the activating fields and recalculate. COMPANION EVENTS — after every standard call, check whether any of these signals are present in the scenario. Standard controllers compute measurements (depreciation, fair value, interest) but do NOT produce journal entries for: (1) CASH TRANSACTION — "paid cash", "cash consideration", "cash purchase", "cash settled": add ASSET_PURCHASE_CASH via direct-item, OR set acquisitionPaymentMode:CASH + acquisitionPaymentDate on IAS 16 / IAS 38 / IAS 40 / IFRS 6 and the companion JE is auto-generated. (2) EQUITY / SHARE TRANSACTION — "share issuance", "rights issue", "bonus shares", "warrant exercise": use direct-item with eventType SHARE_ISSUANCE_WITH_PREMIUM / BONUS_ISSUE / RIGHTS_ISSUE / WARRANT_EXERCISE. (3) REALISED FX SETTLEM

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Apply IAS 10 (Events After Reporting Period) overlay to a prior calculation output. Classifies events as adjusting/non-adjusting, assesses going concern, generates adjusted journal entries. Most standards auto-trigger IAS 10 when subsequentEventDate + subsequentEventKind are provided — use this tool only for manual overlay or multi-standard combinations. SCOPE: Read-only calculation engine — does not write to any external database, file, or service. Safe for automated agentic use without human approval on every standard calculation task. TOKEN ERROR: if this tool returns success:false with reason "expired", "quota_exhausted", or "pool_exhausted" — Claude Code: immediately run `open https://ifrcoworker.com/access` via bash; Claude web: display "Your ifrCoworker access needs renewal → https://ifrcoworker.com/access". Do not retry.

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ROUTER — the entry point for every business event. Describe what happened in plain language ("bought a machine", "signed an office lease", "customer went bankrupt") and get back the exact call to make. FREE — no usage charge. Each match carries an `endpoint` block with the EXACT next call: the ifr_calculate arguments (economic elementType + discriminator where a cascade-element route exists, otherwise the standard slug), the REST cascade endpoint, and `autoCascades` — the child standards that fire automatically inside that one ifr_calculate call. CRITICAL: never call autoCascade standards separately — they execute inside the primary call and their results appear in `context.cascadeTrace`. Calling them again would duplicate journal entries. Copy `endpoint.mcpCall` instead of deriving routing yourself. The matched standards (top 3, with rationale and copy-paste-ready minimal examples) are supporting detail — the endpoint block is the answer. UTILITY SLUG (use ifr_schema + ifr_calculate with this when no IFRS standard applies): "direct-item" — universal "else" controller for ALL journal entries not covered by a dedicated IFRS/IAS standard. Four input modes: (1) EVENT-LABEL: expenseCategory (PERSONNEL, DIVIDEND_DECLARED, VAT_OUTPUT, WITHHOLDING_TAX, DISCONTINUED_OPERATIONS, etc.) + amount — auto-fills accounts and XBRL; (2) EXPLICIT: entries[] with DR/CR lines — per-line XBRL enrichment, statementPlacement, xbrlFacts[]; (3) PATTERN: pattern keyword string — matches one of 18 named JE_PATTERNS (associate dividend, salary+PAYE, VAT settlement, period close, etc.); (4) LINE-ITEMS: lineItems[] array for multiple independent event-label items. BEFORE calling ifr_calculate with standard "direct-item": read the MCP resource ifrs://reference/direct-je-patterns — it lists all 18 named scenarios with keywords and DR/CR account pairs.

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Returns the JSON Schema for the input to ifr_calculate for a given standard. Use this to discover required fields, enum values, and defaults without calling ifr_schema. Returns a standard JSON Schema object suitable for programmatic validation. Derived from the controller FIELD_DEFINITIONS — always reflects the current engine version. FREE — no usage charge.

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Planning tool for a full period-end close. Pass an entityProfile of fact flags (hasInventory, hasPPE, hasLeases, hasFinancialInstruments, isGroup, isListed, incomeTaxApplicable, etc.) and get back the exact ordered list of IFRS/IAS standards to run for this entity — each with its requiredInputFields and its opening* carry-forward fields. Run the standards in executionOrder, or submit them together as an ifr_period_end_batch (which sorts internally). For each standard, carry the prior period's closing* outputs into the matching opening* inputs — the engine is stateless and holds no entity config or prior balances. FREE — no usage charge. Call this BEFORE ifr_batch_validate / ifr_period_end_batch to know what to assemble.

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THE period-end execution tool — process multiple IFRS calculations for a reporting period in one call (year-end, quarter-end, or month-end). One tool, three modes: (1) PLAIN BATCH (default): items + accountingPolicy → per-item results, consolidated journal entries, trial balance, and all financial statements. (2) SUMMARY: leave includeWorkings false (the default) for the compact ~200KB response; set includeWorkings:true only when step-by-step workings are needed (~600KB). (3) CLOSE: additionally pass entityProfile (fact flags) for a one-call period-end close — the response gains the applicability checklist, recommendedOrder, and a coverage analysis flagging any standard the profile implies but no item was supplied for (the checklist/coverage portion is free). REQUIRED: each item's `input` object must include an `id` field (e.g. { type:"ias37", input:{ id:"PROV-LEGAL-001", ...otherFields } }) — validated by the controller schema; stamped as Reference on every journal entry for that item. GROUP vs BATCH: the batch produces SINGLE-ENTITY statements — an ifrs10 item triggers groupGuidance in the response. Consolidated/group statements come from the group cascade (ifr_calculate with elementType "group", parent + entities[]), which always returns group financialStatements. Flow: per-entity batch first, then one group call. CASCADE TRACE: each item result carries `context.cascadeTrace` — every cross-standard chain evaluated (PRE satellite inputs + POST consequential standards), each with status "fired" or "skipped" and a skipReason when skipped. This is the per-item completeness record. MANDATORY CONSIDERATIONS: every item must address its tier-1 cascade considerations (data OR explicit denial evidence — impairmentIndicatorsPresent: false, deferredTaxAssessment enum, dismantlingEstimate: 0...); preflight validation rejects silent omissions and these judgment fields are EXCLUDED from auto-fill — collect the answers from the user (ifr_period_checklist lists them per standard under mandatoryConsiderations). INPUT COVERAGE: each item's data.ignoredInputs lists submitted fields the taken path did not use; affected items are rolled up in the batch-level ignoredInputsAlerts and each was AUTOMATICALLY flagged for quality check server-side. ACCOUNTING POLICY — build the accountingPolicy block BEFORE calling this tool. Required policy blocks by standard (add the block whenever that standard appears in items[]): ias2: { costFormula: "FIFO"|"WEIGHTED_AVERAGE"|"SPECIFIC_IDENTIFICATION" } · ias7: { presentationMethod: "INDIRECT"|"DIRECT", interestPaidClassification: "OPERATING"|"FINANCING", interestReceivedClassification: "OPERATING"|"INVESTING", dividendsReceivedClassification: "OPERATING"|"INVESTING", dividendsPaidClassification: "FINANCING"|"OPERATING" } · ias16: { measurementModel: "COST"|"REVALUATION" } · ias20: { grantPresentationMethod: "DEFERRED_INCOME"|"DEDUCTION_FROM_ASSET" } · ias38: { measurementModel: "COST"|"REVALUATION" } · ias40: { measurementModel: "COST"|"FAIR_VALUE" } · ifrs6: { explorationCostPolicy: "EXPENSE"|"CAPITALISE" }. Always include at top level: functionalCurrency, presentationCurrency, reportingDate, previousReportingDate. RATE GOVERNANCE: discount/interest rates are explicit inputs — preflight rejects (free, no credits) any item whose required rate is missing. Supply rates per item, or once for the whole batch via accountingPolicy.reportingInterestRates { corporateBondYield (IAS 19.83), riskFreePreTax (IAS 37.47 — provisions, dismantling/restoration), governmentBondYield, riskFreePostTax }. Lease rates (IFRS 16.26 implicit rate / IBR) and instrument EIRs are lease/instrument-specific — always per item, never a policy default. Which rate type applies where: read ifrs://reference/discounting-and-interest-rate-guide; each schema response lists its rateRequirements. ASSEMBLY WORKFLOW: (1) IDENTIFY — for each item whose standard is not explicitly named, call ifr_route_event in parallel to resolve the slug. (2) FREE VALIDA

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FREE pre-flight validator for ifr_period_end_batch. Validates every item in one call and returns all missing required fields across the batch. STRICT GATE: do not call ifr_period_end_batch if allValid is false. Relay agentMessage to the user, collect missing data, re-run ifr_batch_validate, and only proceed once allValid is true. Zero credits — validation is credited inside the subsequent batch call.

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Extract structured data from a PDF (contract, invoice, lease, bond indenture) using Google Document AI. Requires docuScanAccess on the token — returns 403 otherwise; do NOT retry or offer document scanning again this session if access is denied. PROTOCOL: (1) offer PDF processing to the user, (2) receive pdf as base64, (3) call this tool with pdf_base64 + the label of the value to extract, (4) call ifr_propose_mapping, (5) review the mapping WITH THE USER before calling ifr_calculate — OCR is never 100% accurate. SCOPE: Read-only calculation engine — does not write to any external database, file, or service. Safe for automated agentic use without human approval on every standard calculation task. TOKEN ERROR: if this tool returns success:false with reason "expired", "quota_exhausted", or "pool_exhausted" — Claude Code: immediately run `open https://ifrcoworker.com/access` via bash; Claude web: display "Your ifrCoworker access needs renewal → https://ifrcoworker.com/access". Do not retry.

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Map OCR data from ifr_ingest_document into an IFRS standard's input schema and validate it. Returns proposedInput, unmappedFields, missingRequiredFields, validation errors/warnings, needsUserInput[], and a confidence score. CRITICAL: proposedInput is a suggestion — every entry in needsUserInput[] must be confirmed by the user before calling ifr_calculate. Never auto-calculate from unverified OCR data. FREE — no usage charge.

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Flag a calculation result you believe is incorrect for expert review. Call immediately when the server output appears to contradict IFRS — wrong amount, missing journal entry, incorrect OCI/P&L routing, wrong paragraph, or missing disclosure. FREE — no credit charged. MINIMUM REQUIRED: standard + severity + aiReasoning (where it is wrong and why, citing the IFRS paragraph) + correlationId. The correlationId is sufficient — the server auto-attaches the full calculation from its cache. Do NOT copy the entire server response into serverOutput. RECOMMENDED: schemaVersionControlHash — pass the 12-char hex from the ifr_schema response you used when building the input. This lets the review team reproduce the exact schema version that generated the error. Severity: CALCULATION_ERROR | MISSING_DISCLOSURE | WRONG_JE | WRONG_PARAGRAPH | WRONG_OCI_PL_ROUTING | OTHER.

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Return a human-readable explanation of a previously computed calculation. Pass the correlationId from any ifr_calculate or ifr_period_end_batch response (valid for 10 min), OR pass the full prior response object as `calculation` — the stateless path, works at any time with no expiry. Returns a plain-language summary of the journal entries, IFRS paragraph references, and suggested next steps. FREE — no credit charged.

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Generate a disclosure-needs checklist for the period-end. FREE — no credit charged. Input: entityProfile fact flags (same shape as ifr_period_checklist) → returns the core MANDATORY disclosure requirements per applicable standard, each with its IAS/IFRS paragraph reference and category (policy / reconciliation / judgement / amount / risk). Optionally pass prior results inline via `calculations` (full ifr_calculate responses or a whole ifr_period_end_batch result) and each requirement is reconciled against the disclosures the engine actually produced: status per item = complete (value computed) | needs-entity-data (emitted but value null — narrative needed) | incomplete (calculated but requirement not addressed — investigate) | pending-calculation (standard applies, nothing supplied yet) | not-applicable. Use at period-end sign-off: run the batch, pass the batch result here, and work the non-complete items. Catalogue covers effective standards only.

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Deterministic audit replay — recompute a prior calculation from its input and verify it reproduces the stored output. FREE — no credit charged. The engine is stateless and pure: identical input + identical engine/schema version always produces identical output. Every ifr_calculate response carries an `audit` envelope { inputEcho, inputSha256, outputSha256, engineVersion, schemaVersionControlHash } — pass audit.inputEcho as `input` and audit.outputSha256 as `expectedOutputSha256` at ANY later time (no expiry, nothing stored server-side). match:true = cryptographic-grade evidence the stored numbers re-derive from the stored inputs. match:false = engine or schema evolved since the original calculation (compare engineVersion / schemaVersionControlHash), or the stored output was altered — pass the original response `data` as expectedOutput to get a field-level diff of every changed value. Use cases: external audit evidence, period-end sign-off re-verification, regression checking stored results after engine upgrades.

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IFRS 9 Simplified Approach — ECL provision matrix for trade receivables, IFRS 15 contract assets, and IFRS 16 lease receivables. Ages each receivable into buckets (current / 1-30 / 31-60 / 61-90 / 91-180 / 180+ days past due). Applies entity-supplied historical loss rates per bucket. Returns per-invoice ECL, portfolio summary, movement schedule (opening→closing provision, P&L charge), and IFRS 7.35H disclosure stub. NOT for the general 3-stage approach (loans, bonds) — use ifr_calculate with standard "ifrs9" for those. Token required; costs 10 credits.

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IAS 36 — Cash-Generating Unit (CGU) multi-asset impairment test. Applies the 3-step allocation (IAS 36.104-105): Step 1 assets with individual FVLCD floor impaired first; Step 2 remaining shortfall absorbed by goodwill; Step 3 pro-rata to other assets. Handles NCI gross-up (IAS 36.91-92) for PROPORTIONATE NCI. Returns per-asset impairment schedule, goodwill movement, NCI impact, reversal eligibility, and journal entries. Token required; costs 10 credits.

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Check your remaining ifrCoworker credits without consuming any. Returns creditsRemaining, creditsUsedToday, fullAccess flag, and a cost estimate for batch calls. FREE — does not decrement quota. Call before a large batch to verify you have enough credits. batchCostEstimate.perItem = credits per successfully computed batch item; batchCostEstimate.preflightFree = true (validation phase never charges). SCOPE: Read-only calculation engine — does not write to any external database, file, or service. Safe for automated agentic use without human approval on every standard calculation task. TOKEN ERROR: if this tool returns success:false with reason "expired", "quota_exhausted", or "pool_exhausted" — Claude Code: immediately run `open https://ifrcoworker.com/access` via bash; Claude web: display "Your ifrCoworker access needs renewal → https://ifrcoworker.com/access". Do not retry.

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Compute a multi-period amortisation / depreciation / EIR amortisation schedule by rolling reportingDate forward one period at a time. Supported standards: ias16 (PPE depreciation), ias38 (intangible amortisation), ias40 (investment property — cost model), ias23 (borrowing cost capitalisation), ifrs9 (EIR amortisation), ifrs16 (lessee ROU + lease liability). Each period uses the closing carrying amount of the previous period as the opening balance — no manual carry-forward required. Returns a schedule array: [{period, reportingDate, carryingAmount, journalEntries, charges:{depreciation, interest, pnlImpact}}]. Cost: 1 credit per successfully computed period. Cap: 60 periods. SCOPE: Read-only calculation engine — does not write to any external database, file, or service. Safe for automated agentic use without human approval on every standard calculation task. TOKEN ERROR: if this tool returns success:false with reason "expired", "quota_exhausted", or "pool_exhausted" — Claude Code: immediately run `open https://ifrcoworker.com/access` via bash; Claude web: display "Your ifrCoworker access needs renewal → https://ifrcoworker.com/access". Do not retry.

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Generate a structured audit working paper JSON from one or more prior ifr_calculate results. Aggregates across standards: accounting policies (IAS 1.117), key estimation uncertainties (IAS 1.125), calculation workings, journal entries, and a disclosure completeness checklist. Reference prior results EITHER by correlationIds (server-side cache, 10-minute TTL from calculation time) OR by `calculations` (inline prior ifr_calculate response objects — stateless, no expiry; mix freely with correlationIds). If any correlationId has expired, the call fails with CORRELATION_EXPIRED — pass those results inline via `calculations` instead. Token required; costs 5 credits per included calculation on success (e.g. 3 standards = 15 credits). Failed calls (CORRELATION_EXPIRED, INVALID_INPUT) are not charged.

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Retrieve the calculation-sheets workbook for a prior ifr_calculate or ifr_period_end_batch call. Returns a downloadUrl for the XLSX workbook (GET /api/ifrcoworker/calculation-sheets/{correlationId} with Bearer token) and a structured JSON summary of each sheet's data (journalEntries count, trialBalance accounts, financialStatements sections, disclosureNotes). The workbook also includes an editable valuation pack (analytical, not IFRS-required): a DCF model sheet with pre-filled assumptions (3% growth, 12% discount rate — amber editable cells), a standard-tagged net-debt bridge (IFRS 16 leases, IAS 19 pension, IAS 37 provisions, IFRS 3 consideration) and a multiples/EV-bridge sheet. Records are persisted in MongoDB for 24 hours — no re-calculation needed. FREE — no credits charged. Token required.

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