Faceup Integration: Approve Statistics Queries from Your Phone
Run Faceup on autopilot. Keep the veto.
1 action
Faceup surfaces whistleblowing statistics via GraphQL queries. Rills holds each query for approval before it executes against your reporting data.
Interactive. No signup. 14 days free · approvals always free.
Most automation fires first, asks later. Rills shows you the change before it ships.
Every consequential support action from Faceup arrives on your phone first. Approve in seconds. Decline without explaining yourself. Workflows wait, paused at zero cost, until you decide.
Queue (3)
Run weekly statistics query on 47 new anonymous reports?
last 7 days
bullying and harassment
Volume spike detected compared to previous week
Free to wait. Free to think.
Approvals and logic don't cost a credit. Pause a workflow for three hours or three weeks. The price is the same: zero. You only pay when something real happens: an AI call, an outbound action.
Approve from your phone in five seconds.
Swipe right when you're sure. Decline when you're not. Between meetings, mid-coffee, on the train. No dashboard to babysit, no inbox triage, and no surprise send you find out about after it's already out the door.
Clear runs stop waiting on you.
Every run is scored against your review step. The ones that clearly match your judgment run above your threshold without a tap; the borderline ones still come to the queue. Autonomy is earned run by run, never switched on for good.
About Faceup automation
Anonymous reports flood in, and the statistics you rely on to spot patterns can ship with errors that have real consequences. A misconfigured query breaks the trust of your reporting system.
When Faceup runs unsupervised
A GraphQL Statistics Query that runs without review can quietly corrupt your decision-making. Here is what goes wrong:
- GraphQL Statistics Query with incorrect date filter: excludes a week of reports, skewing trend analysis
- GraphQL Statistics Query with wrong category filter: hides the most common type of report
- GraphQL Statistics Query without pagination: returns incomplete data, making you miss a pattern
- GraphQL Statistics Query run during peak hours: slows down the reporting tool for users
What Rills does inside Faceup
Rills monitors your Faceup reporting needs and proposes GraphQL Statistics Queries based on your usual patterns. You review the query parameters, approve each Faceup query from your phone, and the results come back accurately.
The query still runs; you just see what it will return before it hits your dashboard.
Why Faceup has no triggers and how Rills fills the gap
Faceup doesn't push events when new reports arrive or when statistics change. Rills bridges that gap with scheduled and conditional queries, bringing Faceup automation into the development category where you need reliable polling.
- Schedule a daily FaceUp GraphQL Statistics Query to generate summary reports at 8am
- Poll every hour for new reports and run a statistics query to detect sudden spikes in a category
- Trigger a statistics query from an external calendar event or a Slack message in a connected tool
What Rills can do in Faceup
1 actions across reads, writes, and updates.
- 01
FaceUp GraphQL Statistics Query
Retrieve and analyze whistleblowing report statistics with customizable filtering to monitor concerns raised within your organization or partner network.