IT OPS

Vendor Status-Page Outage to SLA Credit Claim Draft

Scrapes a vendor's public status page on a schedule, matches detected outages against your contract SLA in Airtable.

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionScrape vendor status-page incident historyFirecrawl
  • LogicSum monthly downtime and look up contract SLAAirtableAirtable
  • LogicDecide if SLA breach threshold crossed
  • ActionWrite credit-claim record with amount owedAirtableAirtable
  • OutputEmail drafted credit request to vendorGmailGmail

What it does

Watches a third-party vendor's hosted status page for resolved incidents, calculates the monthly downtime they represent, compares it to the uptime percentage your contract guarantees, and produces a ready-to-send credit request when the vendor owes you money. No more manually reading status histories at month end.

When to use it

Run it when you depend on a SaaS vendor with a published SLA (cloud host, payment processor, CDN) and want to stop leaving service credits on the table. Best for ops or finance teams managing several vendor contracts.

How it works

  1. 1A daily schedule fires the workflow.
  2. 2Firecrawl scrapes the vendor's status-page incident history into structured text.
  3. 3The flow parses incident start/end times and sums billable downtime for the current month.
  4. 4A logic step looks up the vendor's contract terms (SLA %, credit table) in Airtable and decides whether the breach threshold was crossed.
  5. 5If a breach is found, an action writes a claim record back to Airtable with the computed credit owed.
  6. 6Gmail sends a drafted credit-request email to the vendor's support address, citing the dates and downtime.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect GmailRead, draft, send, label.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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