Crustdata Integration & Workflow Automation
Run Crustdata on autopilot. Keep the veto.
15 actions
Crustdata pulls company signals—headcount, funding, LinkedIn posts—for prospecting and research. Rills queues data posts, enrichment runs, and screener searches for approval before they land in your CRM or analytics tools.
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 crm action from Crustdata arrives on your phone first. Approve in seconds. Decline without explaining yourself. Workflows wait, paused at zero cost, until you decide.
Queue (3)
Post 12 headcount timeseries updates to company records?
12 companies · headcount change over 7 days
Two firms show unusual 20% employee spikes
Spikes match recent job listings surges at same firms
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 Crustdata automation
AI can pull signals from Crustdata and push them straight into your downstream stack. But an automated post of a headcount spike that was really a data glitch, or an enriched prospect list crammed with stale titles, quietly erodes trust in your CRM. By the time someone notices, outreach is wrong and forecasts are off—and nobody can trace which run contaminated the data.
When Crustdata runs unsupervised
A workflow that posts enrichment results or timeseries data without review assumes every pull is accurate. When it isn’t, the consequences compound silently.
- Post web traffic data that treats a bot surge as a buying signal and overweights a lead score.
- Enrich person screener with titles from six months ago, causing your outbound team to target the wrong decision-makers.
- Post funding milestone timeseries that misattributes a round, skewing investor dashboards and territory plans.
- Search companies with filters and surface duplicates that fragment a single account into three CRM entries.
- Retrieve LinkedIn posts and feed an executive’s personal vent into a sentiment model that fires a false alert.
What Rills does inside Crustdata
Rills places an approval step between Crustdata operations and their destinations. Before a headcount timeseries or funding data is posted, before a screener enriches a prospect record, the proposal enters your mobile queue. You see the data and its confidence score, swipe to approve or reject, and every decision is logged.
The data still flows; you just see it before it sticks.
Why Crustdata has no triggers and how Rills fills the gap
Crustdata sends no events on its own, so Rills relies on scheduled workflows and upstream triggers to propose actions for review. This gives you a predictable rhythm for data pulls and approvals.
- Poll for new headcount timeseries on a schedule, then queue any Post headcount timeseries data proposal that would update target accounts.
- Use a CRM event, like a new lead creation, to trigger Enrich person screener and review the enrichment before it’s committed.
- Run a nightly job scraping Retrieve linkedin posts by keyword; only posts that pass review get passed into your outreach tooling.
- Schedule Post job listings table data weekly so every hire signal gets a human check before it alerts your sales team.
This pattern turns Crustdata into a gated, auditable CRM data pipeline, giving RevOps teams control over every signal that enters their world.
What Rills can do in Crustdata
6 of 15 actions across reads, writes, and updates.
- 01
Enrich person screener
The screenerpersonenrich endpoint enriches person data by providing additional information based on the given query.
- 02
Fetch headcount by facet timeseries
Retrieves headcount data as a timeseries with faceted analysis capabilities.
- 03
Fetch investor portfolio data
Retrieves comprehensive investor portfolio data from the Data Lab section of the CrustData API.
- 04
Filter decision makers data
Retrieves a precisely filtered subset of decision maker records from Crustdata's B2B database based on your chosen criteria, enabling you to quickly isolate the right contacts for your business needs.
- 05
Post funding milestone timeseries data
The FundingMilestoneTimeseries endpoint retrieves time-series data related to funding milestones for companies.
- 06
Post headcount timeseries data
Retrieves filtered and sorted headcount timeseries data from the CrustData Data Lab.