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Faceup Integration: Approve Statistics Queries from Your Phone

Run Faceup on autopilot. Keep the veto.

1 action

GraphQL statistics queries on anonymous reports run on your behalf, and a flawed query ships results you can't undo. Rills proposes the query, you approve from your phone.

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Interactive. No signup. 14 days free · approvals always free.

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02. The trust layer

Most automation fires first, asks later. Rills shows you the change before it ships.

Every consequential development 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

FACEUP · STATS REVIEW
85

Run weekly statistics query on 47 new anonymous reports?

Date range: last 7 days

Category filter: bullying and harassment

Volume spike detected compared to previous week

SWIPE → APPROVE
Illustrative. Your real proposals match your data and your approval history.
  1. 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.

  2. 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.

  3. Routine cases graduate themselves.

    Every approval feeds a confidence score for that exact workflow shape. The obvious cases (the ones you've green-lit fifty times) start running on their own. The judgment calls still come to you.

03. Overview

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
04. Actions

What Rills can do in Faceup

1 actions across reads, writes, and updates.

  1. 01

    FaceUp GraphQL Statistics Query

    Retrieve and analyze whistleblowing report statistics with customizable filtering to monitor concerns raised within your organization or partner network.

05. NEXT MOVE

Approve every Faceup change before it ships.

14 days free. No credit card. About 90 seconds to your first proposal.