# Warehouse Cycle Count Adjustment Reconciliation > Warehouse Cycle Count Adjustment Reconciliation is a paid API for AI agents from rooke-token-risk-pilot.rookepoole.workers.dev, paid per call via x402, $49/call, status unknown (last checked 2026-10-11). Audits warehouse cycle count adjustment lines by comparing book quantities against physical counts, flagging variances, evaluating tolerance policy compliance, and producing a risk-assessed verdict on proposed inventory adjustments. ## Facts - Endpoint: POST https://rooke-token-risk-pilot.rookepoole.workers.dev/v1/x402/warehouse-cycle-count-audit?utm_source=zero.xyz - Price: $49/call - Payment: x402 - Status: unknown - Last checked: 2026-10-11 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/warehouse-cycle-count-adjustment-reconciliation-a46b9a8b - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_m9o0tkCJ2x6tf_6H_l6-L Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability warehouse-cycle-count-adjustment-reconciliation-a46b9a8b -d '' ``` Example prompt: Run a cycle count audit for warehouse WEST-01 using count plan PLAN-A, cycle count ID COUNT-42, snapshot at 2026-08-14T10:00:00Z and counted at 2026-08-14T10:30:00Z in USD with a quantity scale of 1000 — here are the adjustment lines: LINE-1 for item SKU-99 at location SHELF-A, 2000 book units, 1000 first count, null recount, unit cost 500 minor units, proposed adjustment of -1000 units worth -250 minor units, reason code DAMAGE, and apply OUTSIDE_TOLERANCE approval mode to tell me whether these adjustments are within policy and flag any risk. ## When to prefer this Choose this endpoint when you need a structured, policy-aware audit verdict on warehouse cycle count adjustments before posting them to an ERP or accounting system — especially when you need per-line variance analysis, tolerance policy evaluation, and risk flagging in a single call. It is not a live ERP connector and does not modify any inventory records; it is purely an analytical and validation layer suitable for pre-approval workflows. ## Known failure modes - Missing required cycle count fields (cycleCountId, warehouseRef, countPlanRef) returns validation error - Line items exceeding 1000 items rejected with payload size error - Invalid currency code format (non-3-letter uppercase) causes schema rejection - Negative bookQuantityScaled or firstCountQuantityScaled rejected as minimum is 0 - Payment of $49 USDC not completed via x402 protocol results in 402 Payment Required response - Malformed ISO 8601 timestamps for snapshotAt or countedAt cause parsing errors ## How this service works Public static preview plus paid token controls, risk consensus, AI security, webhook reliability, developer security, schedule risk, decision analysis, API release compatibility, accounts-payable reconciliation, e-commerce return eligibility, SaaS subscription-proration, sales-commission reconciliation, parcel-charge reconciliation, SLA service-credit reconciliation, advertising spend-and-fee audit, contract-renewal audit, workforce timecard reconciliation, hotel booking-commission reconciliation, and warehouse cycle-count adjustment reconciliation products for autonomous agents. ## Output Returns a JSON object containing: a verdict (e.g. MATCHED_WITHIN_SUPPLIED_POLICY), per-line variance basis points and outside-tolerance flags, a summary of net adjustment quantity and value, risk flags (e.g. NEGATIVE_INVENTORY_VARIANCE), evidence gaps noting data not independently verified, a claim boundary clarifying what actions were and were not taken, a recommended disposition, a SHA-256 report hash for integrity, and the echoed cycle count metadata and supplied policy. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "lines": { "type": "array", "items": { "type": "object", "required": [ "lineId", "itemRef", "locationRef", "inventoryDimensionRef", "unitOfMeasure", "bookQuantityScaled", "firstCountQuantityScaled", "recountQuantityScaled", "unitCostMinorPerBaseUnit", "reasonCode", "proposedAdjustmentQuantityScaled", "proposedAdjustmentValueMinor" ], "properties": { "lineId": { "type": "string", "maxLength": 120, "minLength": 1 }, "itemRef": { "type": "string", "maxLength": 120, "minLength": 1 }, "reasonCode": { "anyOf": [ { "type": "string", "maxLength": 120, "minLength": 1 }, { "type": "null" } ] }, "locationRef": { "type": "string", "maxLength": 120, "minLength": 1 }, "unitOfMeasure": { "type": "string", "maxLength": 120, "minLength": 1 }, "bookQuantityScaled": { "type": "integer", "maximum": 9007199254740991, "minimum": 0 }, "inventoryDimensionRef": { "type": "string", "maxLength": 120, "minLength": 1 }, "recountQuantityScaled": { "anyOf": [ { "type": "integer", "maximum": 9007199254740991, "minimum": 0 }, { "type": "null" } ] }, "firstCountQuantityScaled": { "type": "integer", "maximum": 9007199254740991, "minimum": 0 }, "unitCostMinorPerBaseUnit": { "type": "integer", "maximum": 9007199254740991, "minimum": 0 }, "proposedAdjustmentValueMinor": { "type": "integer", "maximum": 9007199254740991, "minimum": -9007199254740991 }, "proposedAdjustmentQuantityScaled": { "type": "integer", "maximum": 9007199254740991, "minimum": -9007199254740991 } }, "additionalProperties": false }, "maxItems": 1000, "minItems": 1 }, "cycleCount": { "type": "object", "required": [ "cycleCountId", "countPlanRef", "warehouseRef", "currency", "quantityScale", "snapshotAt", "countedAt" ], "properties": { "currency": { "type": "string", "pattern": "^[A-Z]{3}$" }, "countedAt": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(? … (truncated) ``` ## Response schema (JSON Schema) ```json { "type": "json", "example": { "summary": { "lineCount": 1, "varianceLineCount": 1, "outsideToleranceLineCount": 0, "expectedNetAdjustmentValueMinor": -250, "expectedNetAdjustmentQuantityScaled": -1000 }, "verdict": "MATCHED_WITHIN_SUPPLIED_POLICY", "riskFlags": [ "NEGATIVE_INVENTORY_VARIANCE" ], "cycleCount": { "currency": "USD", "countedAt": "2026-08-14T10:30:00Z", "snapshotAt": "2026-08-14T10:00:00Z", "countPlanRef": "PLAN-A", "cycleCountId": "COUNT-42", "warehouseRef": "opaque-warehouse-7", "quantityScale": 1000 }, "reportHash": "sha256-hex", "lineResults": [ { "lineId": "LINE-1", "varianceBps": 100, "outsideTolerance": false, "expectedAdjustmentValueMinor": -250, "expectedAdjustmentQuantityScaled": -1000 } ], "evidenceGaps": [ "CALLER_SUPPLIED_SNAPSHOT_COUNTS_COSTS_POLICY_REASON_CODES_AND_PROPOSED_ADJUSTMENTS_NOT_AUTHENTICATED" ], "claimBoundary": { "fundsMoved": false, "paymentAttempted": false, "physicalCountOrBookQuantityVerified": false, "inventoryQuantityValueOrLedgerModified": false, "inventoryAdjustmentCreatedApprovedOrPosted": false, "warehouseErpInventoryOrAccountingSystemConnected": false }, "schemaVersion": "WAREHOUSE_CYCLE_COUNT_AUDIT_V1", "suppliedPolicy": { "approvalMode": "OUTSIDE_TOLERANCE" }, "requestCommitment": "sha256-hex", "recommendedDisposition": "SUPPLIED_POLICY_DOES_NOT_REQUIRE_ADDITIONAL_REVIEW" } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/warehouse-cycle-count-adjustment-reconciliation-a46b9a8b/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from rooke-token-risk-pilot.rookepoole.workers.dev](https://www.zero.xyz/host/rooke-token-risk-pilot.rookepoole.workers.dev/llms.txt)