Smarter Price Monitoring for FullContact Teams
Turn Price Monitoring into a background job. Arahi AI agents use FullContact to execute on your behalf, 24/7.
Weekly diff posted. 1 actionable change this run:
Meeting notes
- • Relay AI cut Pro plan from $149 → $129/mo (-13%).
- • Lindy added $99 starter tier (3 agents, 5 integrations).
- • Stack AI: no change · Adept: page 404 (suspended?).
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Your FullContact Account
Authorize FullContact via OAuth in one click. Arahi AI maps your contacts, deals, and custom fields automatically.
Set Up Sales Automation Rules
Define triggers — new lead, deal stage change, stale pipeline — and the AI actions to take in FullContact.
Launch & Track Revenue Impact
Your AI agent starts working inside FullContact. Track leads processed, deals influenced, and time saved on your dashboard.
Relay AI cut Pro plan from $149 → $129/mo (-13%).
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Sheets · Pricing tracker with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Pricing diff · Week of Mar 10.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The price monitoring agent scales automatically as your FullContact activity grows. Whether you process 10 or 10,000 price monitoring tasks per day from FullContact, the AI handles the volume without slowdowns or additional configuration.
All data exchanged between FullContact and Arahi AI during price monitoring processing is encrypted in transit and at rest. We use OAuth tokens for FullContact access, never store raw credentials, and maintain full audit logs of every price monitoring action.
Yes. You can create parallel price monitoring workflows that respond to different FullContact events or conditions. For example, one price monitoring flow for new FullContact records and another for updated ones — each with independent rules and actions.
Yes. The price monitoring agent connected to FullContact simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single price monitoring workflow can pull data from FullContact, process it, and push results to multiple destinations.
No coding required. The no-code builder walks you through connecting FullContact and configuring price monitoring rules visually. Your team can set up, modify, and manage FullContact-based price monitoring workflows without any developer involvement.
The FullContact integration maintains a persistent real-time connection for price monitoring automation with automatic retry logic and continuous monitoring. If FullContact experiences downtime, queued price monitoring tasks process automatically once connectivity resumes.
Yes. You can run price monitoring workflows in test mode using sample FullContact data before activating on live records. This lets you verify every price monitoring rule works correctly with your FullContact setup before processing real data.
The dashboard shows price monitoring-specific metrics for your FullContact integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how FullContact-triggered price monitoring workflows perform over time.
Arahi AI connects to FullContact via one-click OAuth, then runs price monitoring workflows that read and write FullContact data on a schedule or in response to triggers. You configure the rules once; the agent executes price monitoring across every relevant FullContact record without developer involvement.
FullContact holds the data; AI supplies the judgment and throughput. Together they turn price monitoring from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the FullContact-adjacent work that genuinely needs human attention.
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