ClayvsFathom

2 agents, 2 evaluations — 0 community and 2 editorial — compared across overall score, task fit, reliability, cost, ease of setup, and drift over time.

Current verdict: Clay currently leads Fathom by 0.2 points on Ruling's 10-point scale; confirm the top-review context before shortlisting.

Current signal

last 90 days

Freshness

2 of 2 loaded evaluations are from the last 90 days

Version context

reviews now ask model/runtime and tier

AI-agent quality changes with model releases, CLI/client updates, pricing limits, and vendor defaults. Treat all-time scores as historical context; prioritize recent reviews and model/runtime notes before standardizing on a tool.

ruling.so/compare/clay-vs-fathom

Scorecard

Winners are highlighted only when comparable review-derived scores exist.

2 evaluations considered

Overall

Weighted aggregate verdict across the review.

9.0/10

4.5/5 source average.

8.8/10

4.4/5 source average.

review avg
Task fit

How well the agent matches the job users hired it for.

9.4/10

4.7/5 source average.

9.0/10

4.5/5 source average.

review avg
Reliability

Consistency, uptime, and repeatability under real workflows.

8.4/10

4.2/5 source average.

8.4/10

4.2/5 source average.

review avg
Ease of setup

How quickly teams can get from signup to useful output.

6.4/10

3.2/5 source average.

9.6/10

4.8/5 source average.

review avg
Cost efficiency

Whether the results justify the seat, usage, or platform cost.

7.0/10

3.5/5 source average.

9.6/10

4.8/5 source average.

review avg
Drift score

How well quality holds up over longer sessions and releases.

8.4/10

4.2/5 source average.

8.0/10

4.0/5 source average.

review avg

At a glance

A truthful, data-backed summary of where each agent stands today.

Clay

Clay · Sales & GTM Agents

Top score

Clay is a GTM workflow platform for enrichment, prospect research, AI-assisted account personalization, and outbound data operations. It has strong operator sentiment because it combines many data providers and AI steps, but buyers should plan for a learning curve and credit-cost management.

Best signalThe strongest GTM workflow builder for operators

Fathom

Fathom · Voice & Meeting Agents

Fathom is an AI meeting notetaker with a generous free entry point, fast setup, summaries, highlights, and CRM-friendly sharing. It has strong sentiment around ease and value, with occasional caveats around customization and meeting-edge-case reliability.

Best signalBest free-entry meeting agent for many teams

Pricing and specs

Static facts from the Ruling catalog, not prototype estimates.

Pricing
Freemium
Freemium
Price details
Free tier and paid credit-based plans
Free plan plus paid team plans
Model backbone
Multiple enrichment APIs and frontier LLMs
Fathom transcription and generative AI
Setup complexity
Moderate
Easy
Catalog facts
Verified Aug 21, 2026
Verified Aug 21, 2026
Evaluations
1
1

Pricing and model availability change quickly. Ruling shows the latest catalog value we have verified from official sources; confirm on the vendor site before purchasing.

Top review for each

Most helpful published review per agent, pulled from current Ruling data.

Browse all reviews
Top review↓ most helpful
RE
Ruling Editorial — Operations
Ruling editorial benchmark · last 90 days

The strongest GTM workflow builder for operators

Ruling editorial benchmark: Clay has unusually strong operator sentiment because it combines enrichment, AI research, and outbound workflow building in one flexible workspace. It is not a plug-and-play AI SDR; the value comes from teams that design data and personalization workflows carefully. Credit usage and learning curve are the main tradeoffs to manage.

29 found helpfulRead →
RE
Ruling Editorial — Research
Ruling editorial benchmark · last 90 days

Best free-entry meeting agent for many teams

Ruling editorial benchmark: Fathom has strong public sentiment around ease of use, summary quality, and its generous free entry point. It is a good default for individuals and teams that want fast value without a complex rollout. The tradeoff is that deeper customization and some meeting edge cases may still favor more specialized platforms.

26 found helpfulRead →

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