DOCUMENT OPS

Register a contract's baseline hash when it's sent for signature

When a finalized contract is filed to Dropbox for signing, computes and stores its canonical SHA-256 and signature fingerprint in a registry so later integrity checks have…

CategoryDocument Ops
Enginesim
Difficultybeginner
Triggerevent
Steps4
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew PDF in Dropbox /contracts/outboundDropboxDropbox
  • ActionCompute SHA-256 and signature-field fingerprintShell
  • ActionUpsert baseline registry row keyed by contract IDPostgreSQLPostgres
  • OutputConfirm baseline locked in SlackSlack

What it does

Integrity checking is only as good as the baseline it compares to. This workflow establishes that baseline: the moment a finalized, pre-signature contract is placed in your outbound folder, it computes the canonical SHA-256 of the document and captures a fingerprint of its existing signature fields, then records both alongside the contract ID and counterparty in a registry. Later sentinel runs read this row to detect any post-send modification.

When to use it

Set this up first, before the verification workflows, so every outbound contract has a registered fingerprint. Run it on the version you consider the source of truth at send time.

How it works

  1. 1A new PDF in the Dropbox `/contracts/outbound` folder triggers the run.
  2. 2The file is downloaded and a shell step computes its SHA-256 plus a signature-field fingerprint.
  3. 3The workflow upserts a registry row in Postgres keyed by contract ID, storing both fingerprints and a timestamp.
  4. 4A confirmation with the contract ID and recorded hash is posted to the deal desk Slack channel so the team knows the baseline is locked.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect ShellRun sandboxed commands inside the workspace.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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