DATA OPS

Build the Error-to-Report Correlation Store From Front and Intercom

On a schedule, this scans recent Front and Intercom conversations, fingerprints any errors they mention, matches them to Sentry issues.

CategoryData Ops
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled correlation sweep
  • ActionPull recent Front conversationsFront
  • ActionPull recent Intercom conversationsIntercomIntercom
  • ActionFingerprint errors and match to Sentry issuesSentrySentry
  • OutputUpsert report-to-issue links into PostgresPostgreSQLPostgres

What it does

This is the foundation job: it sweeps recent Front and Intercom conversations, extracts error fingerprints, resolves each to a Sentry issue, and upserts the customer-report-to-issue links into a Postgres table. That correlation store is what powers blast-radius, escalation, and auto-reply workflows so they all agree on which reports belong to which bug.

When to use it

Run it as the always-on backbone before deploying the other correlator workflows, or standalone when you want a queryable map of which customer reports tie to which Sentry issues.

How it works

  1. 1A schedule triggers a periodic sweep.
  2. 2Recent Front conversations are pulled and screened for error content.
  3. 3Recent Intercom conversations are pulled and screened the same way.
  4. 4An OpenAI step normalizes each into a stable error fingerprint and matches it to a Sentry issue.
  5. 5The report-to-issue links are upserted into the Postgres correlation store as the output.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect IntercomConversations, contacts, articles.
  3. 3
    Connect SentryErrors, performance, releases.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Connect PostgresAny Postgres URL — query, write, migrate.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.