agent · ai-sales-agents

Attention

attention.comevidence retrieved Aug 6, 2026view as JSON all ai-sales-agents entries 40 alternatives

Indexed12 or more fields evidenced; not yet scored by a human against the rubric

13 fields evidenced · 42 with no public information. Every value below links to the document it came from and the date we checked it.

4 of those are quoted but not yet interpreted: we hold the source sentence and the date we read it, but nobody has written the answer to the question yet. Those rows show the quote and say so rather than repeating it back as an answer. Why these exist

Also appears in

AI agents that support the Model Context Protocol

Trust gap

How this is scored

These scores are automated. A 1 or 2 counts how many fields this entry answers with a citation — not what those answers say. A 0 means every field for that dimension is recorded as undisclosed and none of the pages we captured mentions it. No one has scored this entry against the rubric yet.

Runtime governance

unscored

Are scope, spend, and authority enforced while the agent runs?

Audit trail

1/3 auto

Is there a tamper-evident record of what it actually did?

Scored from 1 evidenced field(s): audit_trail. Automated score; capped at 2 pending review.

Counts Audit trail, each cited below.

Compliance

unscored

Are compliance obligations attached per engagement?

Outcome settlement

unscored

Does payment depend on a verified result?

Insurance & indemnity

unscored

Can the deployment be insured, and is the customer indemnified?

Assurance

Insurance available: no public information
attention.com · checked Aug 6, 2026 · source did not state this
Insurance carriers: no public information
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Coverage limits: no public information
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Indemnification: no public information
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Liability cap: no public information
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Audit trail: not yet interpreted
“every action leaves a trace you can audit”
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Tamper-evident log: no public information
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Explainability: no public information
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Runtime governance: no public information
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Permission scopes: no public information
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Compliance certifications: no public information
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Regulatory alignment: no public information
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Outcome-based pricing: no public information
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Settlement mechanism: no public information
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Dispute process: no public information
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SLA terms: no public information
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Evaluation coverage: no public information
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Agency

Autonomy level: no public information
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Human oversight: no public information
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Goal complexity: no public information
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Action space: no public information
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Operating environment: no public information
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Initiative: no public information
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Safety

Safety evaluations: no public information
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Red teaming: no public information
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Safety policy: no public information
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Usage restrictions: no public information
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Model or system card: no public information
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Incident reporting: no public information
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Third-party evaluations: no public information
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Data handling: no public information
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Practicality

Pricing model: no public information
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Price point: no public information
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Availability: no public information
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Deployment options: no public information
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Integrations: Claude Connector, MCP server, open API, and 200+ integrations
“Through our Claude Connector, MCP server, open API, and 200+ integrations”
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Supported regions: 100+ different languages
“Attention supports 100+ different languages”
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Support model: no public information
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Foundation models

Base models: Claude Connector
“Through our Claude Connector”
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Model provider: Claude Connector
“Through our Claude Connector”
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Model swappable: no public information
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Open weights: no public information
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Fine-tuning: customize prompts and workflows
“The ability to customize prompts and workflows”
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Context window: no public information
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Ecosystem

Protocols supported: not yet interpreted
“MCP server”
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Tool use: not yet interpreted
“Ask Attention complex questions about your pipeline or sales process directly from Slack”
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Multi-agent: no public information
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API access: not yet interpreted
“open API”
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Open source: no public information
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Marketplace presence: no public information
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Impact

User base: thousands of sales teams
“We've helped thousands of sales teams”
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Deployment scale: trusted by the world's leading revenue organizations
“Attention's AI-native platform is trusted by the world's leading revenue organizations”
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Target sectors: healthcare sales
“deliver seamless customer experiences in complex healthcare sales”
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High-risk domains: healthcare sales
“deliver seamless customer experiences in complex healthcare sales”
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Documented incidents: no public information
attention.com · checked Aug 6, 2026 · source did not state this