Levee vs Behavioral Signals
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Levee compared with Behavioral Signals
| Detail | 
Levee | 
Behavioral Signals |
|---|
| What it does | Authorization layer for AI agent spend with human-approved mandates and tamper-evident proof
| Speech emotion, behavior, and voice deepfake detection API
|
|---|
| Stage | Startup
| Established
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| Founded | 2026
| Not given
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| Based in | Not given
| US
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| Pricing model | Free trial
| Contact for pricing
|
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| Pricing | Free 12 week pilot for card issuing platforms
| Not given
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| Key features | - Passkey-signed spend mandates with purpose, budget, merchants, and time windows
- Real-time authorization decisions with sub-1 second response time at p99
- Human challenge via passkey step-up for exceptional spend
- Fail-closed payment processing if no decision arrives in time
- Hash-chained evidence ledger with tamper-evident records
- Exportable evidence packs for chargebacks and audits
- Supports card, wallet, x402 and stablecoin payment rails
| - Emotion recognition from speech
- Voice deepfake detection
- Speaker attributes analysis
- Language-agnostic processing
- Real-time processing at enterprise scale
- Cloud and on-premises deployment
- Behavioral signals combination
- Agent-customer matching via PAIR
- Custom domain-specific models
- Behavioral profiling and recommendations
|
|---|
| What makes it different | - Human-approved mandates enforce intent, not just static limits or merchant category blocks
- Operates outside the agent in the issuer's authorization path, preventing agent bypass or override
- Creates tamper-evident audit trail linked to agent identity, run, and policy version
- Never holds funds or issues cards; integrates with existing issuer infrastructure
- Single mandate and policy core across multiple payment rails and issuers
| - Combines acoustic and behavioral cues for broader deepfake detection signal
- Language-agnostic detection without per-language model maintenance
- Real-time processing suitable for live calls
- Custom models built by expert team on same engine
- Agent-customer compatibility matching for better call outcomes
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 46 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 0 | 12 |
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| Citation Flow (Majestic) | 0 | 19 |
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| Referring domains (Majestic) | 0 | 196 |
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5 details filled in for both companies.
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