OnCallClerk VS Hiver
Compare OnCallClerk VS Hiver, what is the difference between OnCallClerk and Hiver?
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Summarize
OnCallClerk summarize
OnCallClerk Landing Page
Hiver summarize
Hiver Landing Page
Compare Details
OnCallClerk details
| Categories | AI Customer Service, AI Chat Generator, AI Voice Assistants, AI Call Center |
| OnCallClerk Website | https://OnCallClerk.com?utm_source=toolify |
| Added Time | March 26 2026 |
| OnCallClerk Pricing | -- |
Hiver details
| Categories | AI Customer Service, AI Chatbot |
| Hiver Website | https://hiverhq.com?utm_source=toolify |
| Added Time | June 24 2026 |
| Hiver Pricing | -- |
Comparison of usage
How to use OnCallClerk?
Sign up and use the no-code builder to define how your AI receptionist answers calls, what it says, and how it handles different scenarios. You can then instantly provision a phone number or connect your existing one to start receiving calls. Set up how calls are handled - answer questions, capture leads, route calls, or escalate to a human when needed. Go live and activate your AI receptionist and start answering calls 24/7 automatically. View call transcripts, summaries, and analytics to improve performance and refine responses over time.
How to use Hiver?
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Compare Pros between OnCallClerk and Hiver
Core features of OnCallClerk
- Automatically answer inbound calls with intelligent voice agents, 24/7.
- Create and customise your AI receptionist’s behaviour, tone, and responses without coding.
- Provision phone numbers instantly or connect your existing number.
- Collect caller details, qualify leads, and route them to the right place.
- Forward calls to humans when needed based on rules or intent.
- Get full transcripts and AI-generated summaries for every call.
- Track call volume, performance, and outcomes in a simple dashboard.
- Train your AI receptionist on your business information and FAQs.
Core features of Hiver
- AI Agents: Most AI in customer support software handles the requests it has seen before. It leaves untouched the ones that are too specific, too cross-functional, or too dependent on external systems to fit a standard pattern. Hiver AI Agents handle those. They independently resolve complex customer conversations end to end, pulling context from multiple systems, executing multi-step workflows, and making judgment calls based on account-specific information. When a request exceeds what an AI Agent can resolve, it hands off the full context to a human so nothing gets repeated and nothing gets lost.
- AI Autopilot: Before an agent opens a ticket, Autopilot has already done the groundwork. It categorises incoming conversations, detects customer sentiment, triggers the right workflows, and assigns to the right support agent. By the time an agent steps in, the ticket is ready to work.
- AI Copilot: Once an agent is in a conversation, Copilot works alongside them. It surfaces relevant context from past interactions and company knowledge, drafts replies based on the full conversation history, and reviews responses for tone and completeness before they go out. For global teams, it handles translation across languages without breaking the flow.
- AI QA: Most teams review a small sample of conversations and make quality decisions based on incomplete data. AI QA changes that. Every agent response is automatically audited against quality parameters you define such as tone, accuracy, completeness, process adherence. Managers get a consistent, data-driven view of where quality is strong, where it is slipping, and which agents need coaching.
- AI Insights: Support leaders spend a lot of time pulling reports to understand what is happening across their operation. AI Insights does that continuously in the background. It surfaces what customers are asking about most, where sentiment is trending, which workflows are creating bottlenecks, and where knowledge gaps are driving repeat escalations. The result is a live view of the operation that tells you where to focus, without anyone having to go looking for it.
Compare Use Cases
Use cases for OnCallClerk
- Small Businesses
- Service-Based Businesses
- Call Centers
- Lead Generation & Sales
- After-Hours Support
- Healthcare & Clinics
- Real Estate
- Agencies & SaaS
Use cases for Hiver
- Customer service
- AI email management
- Ticketing
Different Plan between OnCallClerk and Hiver
OnCallClerk
$29.00/month
1 Voice Agent, 1 Business Phone Number, Up to 180 Minutes Call Time
$99.00/month
3 Voice Agents, 3 Business Phone Numbers, Up to 600 Minutes Call Time
$399.00/month
10 Voice Agents, 10 Business Phone Numbers, Up to 3,000 Minutes Call Time
$999.00/month
25 Voice Agents, 25 Business Phone Numbers, Up to 10,000 Minutes Call Time
Hiver
$25 /user/month
Ideal for small teams to deliver effortless, multi-channel support.
$55 /user/month
For teams looking transform their support with advanced features
$85 /user/month
For teams looking transform their support with advanced features
OnCallClerk's traffic
OnCallClerk is the one with 5.2K monthly visits and 00:00:10 Avg.visit duration. OnCallClerk has a Page per visit of 1.76 and a bounce rate of 42.38%.
Visit Over Time
| Monthly Visits | 5.2K |
| Avg·visit Duration | 00:00:10 |
| Page per Visit | 1.76 |
| Bounce Rate | 42.38% |
Hiver's traffic
Hiver is the one with 194.2K monthly visits and 00:03:49 Avg.visit duration. Hiver has a Page per visit of 10.81 and a bounce rate of 39.85%.
Visit Over Time
| Monthly Visits | 194.2K |
| Avg·visit Duration | 00:03:49 |
| Page per Visit | 10.81 |
| Bounce Rate | 39.85% |
Geography
The top 4 countries/regions for OnCallClerk are:United States 63.91%, India 14.98%, United Kingdom 11.31%, Pakistan 9.80%
Top 4 Countries/regions
 | 63.91% |
 | 14.98% |
 | 11.31% |
 | 9.80% |
Geography
The top 5 countries/regions for Hiver are:United States 57.70%, India 4.29%, United Kingdom 2.90%, Mongolia 1.61%, Philippines 1.32%
Top 5 Countries/regions
| 57.70% |
| 4.29% |
| 2.90% |
 | 1.61% |
 | 1.32% |
Traffic Sources
The 6 main sources of traffic to OnCallClerk are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Traffic Sources
The 6 main sources of traffic to Hiver are:Direct 68.90%, vs_sourcesSearchOrganic 16.52%, vs_sourcesSocialOrganic 4.64%, Mail 4.45%, Referrals 2.81%, vs_sourcesSearchPaid 0.91%, vs_sourcesDisplayAds 0.84%, vs_sourcesAffiliate 0.68%, vs_sourcesGenAi 0.26%, vs_sourcesSocialPaid 0.00%
Direct | 68.90% |
vs_sourcesSearchOrganic | 16.52% |
vs_sourcesSocialOrganic | 4.64% |
Mail | 4.45% |
Referrals | 2.81% |
vs_sourcesSearchPaid | 0.91% |
vs_sourcesDisplayAds | 0.84% |
vs_sourcesAffiliate | 0.68% |
vs_sourcesGenAi | 0.26% |
vs_sourcesSocialPaid | 0.00% |
Which is better: OnCallClerk or Hiver?
Hiver might be a bit more popular than OnCallClerk.As you can see, OnCallClerk has 5.2K monthly visits, while Hiver has 194.2K monthly visits. So more people choose Hiver. So the odds are that people will recommend Hiver more on social platforms.
OnCallClerk has an Avg.visit duration of 00:00:10, while Hiver has an Avg.visit duration of 00:03:49. Also, OnCallClerk has a page per visit of 1.76 and a Bounce Rate of 42.38%. Hiver has a page per visit of 10.81 and a Bounce Rate of 39.85%.
The main users of OnCallClerk are United States, India, United Kingdom, Pakistan, with the following distribution: 63.91%, 14.98%, 11.31%, 9.80%.
The main users of Hiver are United States, India, United Kingdom, Mongolia, Philippines, with the following distribution: 57.70%, 4.29%, 2.90%, 1.61%, 1.32%.
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