Claygent vs Persana.ai
Reviewed by MarTechRadar Research Desk. Pricing & entity snapshots verified Oct 15, 2026.
Claygent (Web SaaS) and Persana.ai (Web SaaS) both compete in Lead Enrichment & Waterfall Orchestration. On pricing, Claygent lists Usage-based pricing (no free plan disclosed), whereas Persana.ai lists Custom / enterprise pricing (free plan). Technically, Claygent is rated L3 · Conditional automation with a 3.4/5.0 (Workflow-embedded (strong)) moat, while Persana.ai is rated L3 · Conditional automation with a 3.2/5.0 (Workflow-embedded (strong)) moat. Corporate profile: Claygent (HQ United States) vs. Persana.ai (founded 2023, HQ San Francisco, US, $2.8M funding). Verified by the MarTechRadar Research Desk (Oct 14, 2026 for Claygent; Oct 15, 2026 for Persana.ai). At a 5-seat team baseline, Claygent starts at Custom quote vs Persana.ai at Custom quote.
Claygent
Autonomous GTM web research agent within the Clay ecosystem executing real-time web navigation, scraping, and qualitative attribute extraction for B2B lists.
5-User Team Cost: Custom quote (Usage-based pricing) · Autonomy: L3 · Conditional automation · Moat: 3.4/5.0 (Workflow-embedded (strong))
Target fit: B2B SaaS (Web SaaS)
Persana.ai
Persana.ai is an L3 autonomous outbound sales and lead enrichment engine that orchestrates multi-vendor waterfall lookups across 100+ data providers.
5-User Team Cost: Custom quote (Custom / enterprise pricing) · Autonomy: L3 · Conditional automation · Moat: 3.2/5.0 (Workflow-embedded (strong))
Target fit: B2B SaaS, DTC / eCommerce, Enterprise Brands (Web SaaS)
How Claygent and Persana.ai differ
- Pricing model: Claygent is usage-based, Persana.ai is enterprise / quote.
- Persana.ai has a free plan; none is recorded for Claygent.
- Headquarters: Claygent in United States, Persana.ai in San Francisco, US.
- Ecosystem stack: Claygent connects with Outreach, Apollo.io, Slack, Twilio Segment; Persana.ai connects with Salesforce, HubSpot, Outreach, Slack.
Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.
When to choose Claygent vs Persana.ai (and when to walk away)
Choose Claygent if
- Target ICP & Stack Fit: You operate as B2B SaaS requiring a Web SaaS deployment for Sales Intelligence, with verified ecosystem connectivity for Outreach, Apollo.io, Slack, Twilio Segment.
- L3 Architecture & Defensibility: Embedded deeply into Clay's multi-provider waterfall orchestration pipeline with programmatic web scraping, dynamic query synthesis, and native Model Context Protocol support.
- Commercial Model Fit: Your procurement budget aligns with Usage-based pricing.
Walk away from Claygent if
- Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Claygent requires sales-gated custom quoting).
- Walk away if your workflow cannot tolerate non-deterministic extraction latency: Multi-hop web browsing and real-time page evaluation introduce variable processing latency per record, causing throughput bottlenecks across large batch tables.
- Walk away if bot detection and anti-scraping defenses is a deal-breaker for your team: Target domains utilizing aggressive CAPTCHA challenges or dynamic JavaScript obfuscation can block headless requests, leading to null field outputs.
Choose Persana.ai if
- Target ICP & Stack Fit: You operate as B2B SaaS, DTC / eCommerce and Enterprise Brands requiring a Web SaaS deployment for Sales Intelligence, with verified ecosystem connectivity for Salesforce, HubSpot, Outreach, Slack.
- L3 Architecture & Defensibility: Persana.ai combines multi-provider waterfall routing with automated account research agents. Its operational moat rests on unified credit-based access to over 100 data vendors, eliminating vendor fragmentation, alongside its acquisition by Rox to deliver unified autonomous prospecting workflows.
- Commercial Model Fit: Your procurement budget aligns with Custom / enterprise pricing and want a self-serve free tier for zero-cost initial validation.
Walk away from Persana.ai if
- Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Persana.ai requires sales-gated custom quoting).
- Walk away if your workflow cannot tolerate credit burn asymmetry: Direct-dial phone waterfall verification expends credits at a ten-fold rate relative to standard email lookups, accelerating credit depletion on complex mobile-first campaigns.
- Walk away if upstream provider latency is a deal-breaker for your team: Sequencing queries across 100+ upstream providers introduces variable API lag, creating processing bottlenecks during bulk synchronous CSV uploads or real-time CRM webhooks.
Side-by-side facts
| Field | Claygent | Persana.ai |
|---|---|---|
| Subtrack | Lead Enrichment & Waterfall Orchestration | Lead Enrichment & Waterfall Orchestration |
| Pricing | Usage-based pricing | Custom / enterprise pricing |
| Pricing model | Usage-based | Enterprise / quote |
| Published pricing tiers | — | Free / Sandbox ($0) · Enterprise / Custom (Custom quote) |
| Free access | No free plan disclosed | Free plan |
| Enterprise plan | Not recorded | Yes |
| AI autonomy level | L3 · Conditional automation | L3 · Conditional automation |
| Moat tier & score | 3.4 / 5.0 · Workflow-embedded (strong) | 3.2 / 5.0 · Workflow-embedded (strong) |
| Delivery | Web SaaS | Web SaaS |
| Audience | B2B SaaS | B2B SaaS, DTC / eCommerce, Enterprise Brands |
| Ecosystem integrations | Outreach, Apollo.io, Slack, Twilio Segment, Intercom, Model Context Protocol (MCP) | Salesforce, HubSpot, Outreach, Slack |
| Compliance & governance | SOC 2, GDPR, ISO 27001 | GDPR |
| Funding & backing | Venture-backed | $2.8M |
| Founders | — | Rush Shahani, Sriya Maram |
| Company size | — | 11-50 employees |
| Founded | — | 2023 |
| Headquarters | United States | San Francisco, US |
| Fact-checked | MarTechRadar Research Desk, Oct 14, 2026 | MarTechRadar Research Desk, Oct 15, 2026 |
| Governance & docs | System Status ↗ · API & Docs ↗ · Changelog ↗ · Terms ↗ · Privacy ↗ | Changelog ↗ · Privacy ↗ |
Claygent vs Persana.ai: TCO & constraint stress test
Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.
Claygent
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Claygent does not disclose a public self-serve floor (Usage-based pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Claygent utilizes a usage-based credit consumption model anchored to the parent platform's infrastructure tiers across metered workspace credit pools. Individual research queries draw micro-credits based on search depth, page navigation complexity, and token utilization.
- Usage / Credit Burn Volatility: Claygent uses credit or usage-metered billing (Usage-based pricing). High-volume automated workflows across 5 seats can trigger mid-cycle overage charges.
- Primary Operational Bottleneck: Credit Burn Velocity: Unconstrained multi-step agent iterations consume high platform credit volumes rapidly when prompts require deep hierarchical domain navigation.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Claygent requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Claygent order form before signing a 12-month enterprise commitment.
Persana.ai
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Persana.ai does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Published Self-Serve Entry Floor: Persana.ai publishes a transparent entry point (Custom / enterprise pricing) with a free tier for initial validation before committing.
- Usage / Credit Burn Volatility: Persana.ai uses credit or usage-metered billing (Custom / enterprise pricing). High-volume automated workflows across 5 seats can trigger mid-cycle overage charges.
- Primary Operational Bottleneck: Credit Burn Asymmetry: Direct-dial phone waterfall verification expends credits at a ten-fold rate relative to standard email lookups, accelerating credit depletion on complex mobile-first campaigns.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Persana.ai requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Persana.ai order form before signing a 12-month enterprise commitment.
Limitations
Claygent
Operational considerations and platform boundaries include: Non-Deterministic Extraction Latency: Multi-hop web browsing and real-time page evaluation introduce variable processing latency per record, causing throughput bottlenecks across large batch tables.Full limitations in the Claygent review
Persana.ai
Operational considerations and platform boundaries include: Credit Burn Asymmetry: Direct-dial phone waterfall verification expends credits at a ten-fold rate relative to standard email lookups, accelerating credit depletion on complex mobile-first campaigns.Full limitations in the Persana.ai review
Official vendor architectural differentiators & migration proof
To help buyers evaluate real-world switching costs, verified founders, solutions architects, and PMMs at both Claygent and Persana.ai can submit up to 3 evidence-backed architectural differentiators or verified customer migration case studies.
Why teams choose Claygent over Persana.ai
Work at Claygent? Verify your official domain email to publish 3 technical differentiators, migration benchmarks, or a head-to-head buyer sandbox offer on this comparison page:
+ Submit Claygent Official Differentiators & Case Study →Why teams choose Persana.ai over Claygent
Work at Persana.ai? Verify your official domain email to publish 3 technical differentiators, migration benchmarks, or a head-to-head buyer sandbox offer on this comparison page:
+ Submit Persana.ai Official Differentiators & Case Study →Pricing notes & tier schedules
Claygent: Usage-based pricing
Claygent utilizes a usage-based credit consumption model anchored to the parent platform's infrastructure tiers across metered workspace credit pools. Individual research queries draw micro-credits based on search depth, page navigation complexity, and token utilization.
- Annual Billing Headline vs. Monthly Premium: Headline entry rates reflect annual billing commitments (Save 10%); month-to-month flexibility carries a higher effective monthly rate or requires annual prepayment.
- Credit & Usage Burn Multiplier: Workflows on Claygent consume metered credits or usage quotas; multi-provider enrichment lookups, scraping runs, or bulk batch jobs can exhaust base allocations and trigger mid-cycle top-up packs.
Persana.ai: Custom / enterprise pricing
Persana.ai deploys a credit-based consumption model starting with a Free tier at $0 per month, providing 50 credits, multi-provider waterfall routing, and unlimited platform seats.
- Free / Sandbox ($0, Unlimited seats (capped credits)): Entry free tier with capped usage or feature quotas for initial workflow testing.
- Enterprise / Custom (Custom quote, Unlimited seats (Enterprise SLA)): Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
- Annual Billing Headline vs. Monthly Premium: Headline entry rates reflect annual billing commitments (Save 20%); month-to-month flexibility carries a higher effective monthly rate or requires annual prepayment.
- Credit & Usage Burn Multiplier: Workflows on Persana.ai consume metered credits or usage quotas; voice/media minutes, multi-step synthesis, or high-frequency runs can exhaust base allocations and trigger mid-cycle top-up packs.
Frequently asked questions: Claygent vs Persana.ai
How does Claygent pricing compare to Persana.ai in 2026?
Claygent is listed at Usage-based pricing (usage-based, no free plan disclosed), whereas Persana.ai is listed at Custom / enterprise pricing (enterprise / quote, free plan).
How do Claygent and Persana.ai compare on AI autonomy and moat depth?
On the MarTechRadar L1–L5 scale, Claygent is rated L3 · Conditional automation with a Workflow-embedded (strong) moat (3.4/5.0), while Persana.ai is rated L3 · Conditional automation with a Workflow-embedded (strong) moat (3.2/5.0).
Which teams are Claygent and Persana.ai built for?
Claygent is a Web SaaS product in Lead Enrichment & Waterfall Orchestration designed for B2B SaaS. Persana.ai is a Web SaaS product in Lead Enrichment & Waterfall Orchestration designed for B2B SaaS, DTC / eCommerce, Enterprise Brands.
What are the main limitations of Claygent vs Persana.ai?
For Claygent: Operational considerations and platform boundaries include: Non-Deterministic Extraction Latency: Multi-hop web browsing and real-time page evaluation introduce variable processing latency per record, causing throughput bottlenecks across large batch tables. For Persana.ai: Operational considerations and platform boundaries include: Credit Burn Asymmetry: Direct-dial phone waterfall verification expends credits at a ten-fold rate relative to standard email lookups, accelerating credit depletion on complex mobile-first campaigns.
What are the hidden TCO drivers and contract negotiation levers for Claygent vs Persana.ai?
For Claygent: Annual Billing Headline vs. Monthly Premium (Headline entry rates reflect annual billing commitments (Save 10%); month-to-month flexibility carries a higher effective monthly rate or requires annual prepayment.) Negotiation lever: Demand a 30- to 60-day paid pilot opt-out clause in the Claygent order form before signing a 12-month enterprise commitment. For Persana.ai: Annual Billing Headline vs. Monthly Premium (Headline entry rates reflect annual billing commitments (Save 20%); month-to-month flexibility carries a higher effective monthly rate or requires annual prepayment.) Negotiation lever: Demand a 30- to 60-day paid pilot opt-out clause in the Persana.ai order form before signing a 12-month enterprise commitment.
Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 15, 2026.