Trace Chain Audit Trail API — chainId, Export & Compliance

Permanence without process context is incomplete evidence Regulated teams rarely lose sleep over “can we store a PDF forever?” They lose sleep over whether they can explain how that PDF moved through a process when counsel, a regulator, or a counterparty asks six months later. Permanent storage answers integrity and durability. Traceability answers sequence, actors, and business meaning—the parts internal databases rewrite quietly and email threads bury. Evercore trace is built for that second question. It links uploads, manifests, and workflow steps into a chainId-scoped timeline you can query, export, and correlate with connectors, compliance evaluations, and optional Hedera anchors. The event catalog your integrations should standardize on Trace is not a single magic endpoint. It is a contract across tags, APIs, and platform events that your application and connectors agree to use. Evercore’s connector documentation names runtime catalog events teams wire into ERP, WMS, and case systems, including: • upload.completed — a file or manifest settled with identifiers your downstream systems can key on. • trace.chain_event — a step recorded under a stable chainId with typed metadata. • version.created — a new immutable revision linked via Parent-TX lineage. Those names matter because automation filters on semantics, not on “something happened.” A webhook rule that only listens for uploads will miss QA sign-offs, customs releases, or legal approvals that never create a new file but still change defensibility. When you design integrations, treat the catalog as part of your data dictionary: each event type should map to an owner, a retention class, and an export rule. chainId: the spine that keeps disparate txs readable At upload time you can attach traceContext with: • chainId — stable business identifier (shipment, matter, batch, study). • eventType — coarse classifier for dashboards. • step — human-meaningful milestone (warehouse-intake, qa-review, …). • actor — service account, role, or integration principal. Evercore persists these as on-chain tags (Trace-Chain-Id, Trace-Event-Type, Trace-Step, Trace-Actor) alongside standard file metadata. That means the timeline is anchored to the same permanence layer as the artifact, not only to a mutable app database. Reading the chain Operators and auditors typically use: The response assembles TraceEvent rows with settlement posture (confirmed, pending, unknown), confirmation counts against the network tip, profile metadata, optional complianceVerified when a passing product-path evaluation exists, and—when configured—Hedera anchor receipts tied to the underlying tx id. Pagination uses cursors so large chains (multi-year logistics, clinical batches) do not collapse into one unusable payload. Replay: what auditors mean versus what engineers mean “Replay” shows up in two legitimate senses on Evercore: 1. Timeline replay — reconstruct what happened by walking chain events in order, optionally correlating version lineage (Parent-TX) when the question is “which immutable object superseded which?” 2. Workflow replay — Console workflow runs persist steps_log in Postgres; dry-runs and live runs let operators compare intended versus executed API steps before promoting playbooks. For compliance, the winning narrative combines both: on-chain tags prove what was committed, while workflow logs explain which governed API calls produced those commits. Neither alone satisfies a skeptical examiner who understands that models and scripts can lie; together they bound the story. Export paths matter here. Compliance export packs and trace PDF reports include integrity digests so recipients can detect tampering after download. See the platform pages for traceability and compliance export packs. Pairing trace with profiles, connectors, and anchors Trace events become dramatically more valuable when Business Profiles enforce domain metadata at upload time. A chain where every step carries validated fields (lot codes, jurisdictions, matter ids) is a chain your records team can filter without opening every binary. Connectors push the same events into systems of record in near real time—useful when operations lives in SAP or ServiceNow but legal needs Arweave-grade integrity. When Hedera HCS anchoring is enabled, trace responses can surface compact anchor receipts per file tx. That gives programs a second consensus log for “this step existed” without replacing Arweave as the artifact home. Multi-backend scenarios are documented separately; trace sits orthogonal to storage routing but shares the same audit vocabulary. Practical use cases in regulated industries In each case, the buyer question is the same: can a third party reconstruct the story without your engineers on a call? chainId timelines exist to make that answer “yes” with queryable evidence. Scopes, isolation, and least privilege Trace reads require the trace:read scope. Combined with tenant isolation tags, this prevents one API key from walking another tenant’s chains—even if someone guesses a chainId string. Design keys for integration robots narrowly: a warehouse connector may need files:write and trace:read for its own chains, but not storage:policy:write or unrelated profile administration. What to verify in week one Start from the traceability platform page, then follow API examples in docs#trace and OpenAPI for exact request shapes. Closing Permanent files are exhibits. Trace chains are the table of contents and cross-examination script that make those exhibits admissible in operational and regulatory conversation. If your program already settled on Evercore for encryption and Arweave permanence, trace is how you extend that investment from “we stored it” to “we can prove what happened around it.”

Topics

• regulated audit trail API
• immutable audit log export
• chain of custody API
• trace chainId timeline
• compliance evidence export
• Arweave permanent storage compliance
• connector event catalog
• audit replay API