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Credal

Credal builds governed Model Context Protocol (MCP) servers for enterprise teams, with permissioning, a consolidated audit trail, and connections to systems like Google Drive, Slack, Salesforce, and Snowflake.

www.credal.aievidence retrieved Aug 5, 2026 – Aug 18, 2026view as JSONall ai agents platform entries93 alternatives
Reviewed12 or more fields evidenced, and scored by a human against the published rubric

29 fields evidenced · 30 with no public information. Every value below links to the document it came from and the date we checked it.

29 of them 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

Runtime governance
2/3

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

Each MCP server ships with permissions and governance built in and domain experts decide what their agents can access and do; no evidence of spend limits or of enforcement guarantees at run time.

Judged Aug 3, 2026; evidence newer. We have since re-read Runtime governance and Permission scopes, most recently on Aug 5, 2026. No one has re-scored this dimension against them — the score above stands, but it is older than the evidence below it. How current a score is

Audit trail
2/3

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

Every query across every team MCP flows through a single consolidated audit trail; no evidence it is tamper-evident or hash-chained.

Judged Aug 3, 2026; evidence newer. We have since re-read Audit trail and Tamper-evident log, most recently on Aug 5, 2026. No one has re-scored this dimension against them — the score above stands, but it is older than the evidence below it. How current a score is

Compliance
0/3

Are compliance obligations attached per engagement?

No public evidence found on the page checked.

Judged Aug 3, 2026; evidence newer. We have since re-read Compliance certifications and Regulatory alignment, most recently on Aug 5, 2026. No one has re-scored this dimension against them — the score above stands, but it is older than the evidence below it. How current a score is

How this gap gets closed →
Outcome settlement
0/3

Does payment depend on a verified result?

No public evidence found on the page checked.

Judged Aug 3, 2026; evidence newer. We have since re-read Outcome-based pricing and Settlement mechanism, most recently on Aug 5, 2026. No one has re-scored this dimension against them — the score above stands, but it is older than the evidence below it. How current a score is

How this gap gets closed →
Insurance & indemnity
0/3

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

No public evidence found on the page checked.

Judged Aug 3, 2026; evidence newer. We have since re-read Insurance available, Insurance carriers, Coverage limits and Indemnification, most recently on Aug 5, 2026. No one has re-scored this dimension against them — the score above stands, but it is older than the evidence below it. How current a score is

How this gap gets closed →

Assurance

Insurance available
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Own liability cover
no public information
www.credal.ai · checked Aug 14, 2026 · source did not state this
Insurance carriers
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Coverage limits
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Indemnification
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Liability cap
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Audit trail
Every agent and MCP server in the registry feeds one consolidated audit log.
www.credal.ai · checked Aug 5, 2026
Tamper-evident log
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Explainability
The system identifies where a cheaper model holds accuracy and shows you the data before you switch.
www.credal.ai · checked Aug 5, 2026
Runtime governance
Enforce tool parameters to deterministically limit what data the agent reads and what actions it can take
www.credal.ai · checked Aug 5, 2026
Permission scopes
Scope exactly which tools and MCP servers each team or role can reach. No agent runs an action it wasn't explicitly granted.
www.credal.ai · checked Aug 5, 2026
Compliance certifications
SOC 2 GDPR CCPA
www.credal.ai · checked Aug 5, 2026
Regulatory alignment
SOC 2 GDPR CCPA
www.credal.ai · checked Aug 5, 2026
Outcome-based pricing
The system identifies where a cheaper model holds accuracy and shows you the data before you switch. 03 Enforce the fix Route each workflow to its best-value model and lock it in with no per-team negotiation required.
www.credal.ai · checked Aug 5, 2026
Settlement mechanism
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Asset custody
no public information
www.credal.ai · checked Aug 14, 2026 · source did not state this
Dispute process
Escalate billing disputes over $500 to a human agent.
www.credal.ai · checked Aug 5, 2026
SLA terms
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Evaluation coverage
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Self-reported performance
no public information
www.credal.ai · checked Aug 14, 2026 · source did not state this

Agency

Autonomy level
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Human oversight
Human-in-the-loop approvals Sensitive actions can require sign-off before they run, with a full audit trail of who approved what.
www.credal.ai · checked Aug 5, 2026
Goal complexity
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Action space
Scoped tools 4 of 87 get_opportunities Salesforce update_opportunity Salesforce query_warehouse Snowflake post_update Slack
www.credal.ai · checked Aug 5, 2026
Operating environment
Connect every system and data source Bring the tools and data your teams already use into Credal, and turn each one into a governed MCP server curated by the domain experts who know it best. Query them from Claude, ChatGPT, Cursor, or your own apps.
www.credal.ai · checked Aug 5, 2026
Initiative
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this

Safety

Safety evaluations
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Red teaming
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Safety policy
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Usage restrictions
Revenue is defined as new ARR only. PS and renewals are excluded. Never include usage overages in MRR unless fully annualized.
www.credal.ai · checked Aug 5, 2026
Model or system card
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Incident reporting
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Third-party evaluations
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Data handling
Permissions inherited at the source Every tool call respects the user's existing access. Nothing is over-shared, ever.
www.credal.ai · checked Aug 5, 2026

Practicality

Pricing model
Attribute every dollar See which team, workflow, and model generated every token of cost in one unified log.
www.credal.ai · checked Aug 5, 2026
Price point
Estimated saving: −$37,200/mo.
www.credal.ai · checked Aug 5, 2026
Availability
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Deployment options
Deploy in your cloud Run in our secure cloud or inside your own VPC, so your data never has to leave your environment.
www.credal.ai · checked Aug 5, 2026
Integrations
1,000+ connectors: Google Drive, Slack, Confluence, Salesforce, Jira, Zendesk
www.credal.ai · checked Aug 5, 2026
Supported regions
Enforced parameters region = EMEA
www.credal.ai · checked Aug 5, 2026
Support model
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this

Foundation models

Base models
deal-summary-mcp claude-3.5-sonnet $41,200 code-review-agent claude-3.5-sonnet $38,700 support-triage-mcp gpt-4o $22,100
www.credal.ai · checked Aug 5, 2026
Model provider
deal-summary-mcp claude-3.5-sonnet $41,200 code-review-agent claude-3.5-sonnet $38,700 support-triage-mcp gpt-4o $22,100
www.credal.ai · checked Aug 5, 2026
Model swappable
No model lock-in. Switch between Claude, ChatGPT, Gemini, or any model without reconfiguring a single permission or prompt.
www.credal.ai · checked Aug 5, 2026
Open weights
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Fine-tuning
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Context window
Context per query 71k tokens
www.credal.ai · checked Aug 5, 2026

Ecosystem

Protocols supported
Credal is the enterprise platform where teams build and govern MCP servers
www.credal.ai · checked Aug 5, 2026
Tool use
Scoped tools 4 of 87 get_opportunities Salesforce update_opportunity Salesforce query_warehouse Snowflake post_update Slack
www.credal.ai · checked Aug 5, 2026
Multi-agent
Chain specialized agents, set who can call which actions, and version every change in the registry.
www.credal.ai · checked Aug 5, 2026
API access
APIs & automation Wire governed MCPs into larger automation chains with a typed API.
www.credal.ai · checked Aug 5, 2026
Open source
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Marketplace presence
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this

Impact

User base
Trusted by enterprises and scaling startups
www.credal.ai · checked Aug 5, 2026
Deployment scale
1,000+ data connectors 73% increase in AI query accuracy 13% 86% Data accuracy on AI queries Featured customer story How Checkr jumped 73% in Salesforce data accuracy using Credal's MCP Read the case study
www.credal.ai · checked Aug 18, 2026
Target sectors
Revenue is defined as new ARR only. PS and renewals are excluded. Never include usage overages in MRR unless fully annualized.
www.credal.ai · checked Aug 5, 2026
High-risk domains
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Documented incidents
no public information
www.credal.ai · checked Aug 5, 2026 · source did not state this
Market recognition
no public information
www.credal.ai · checked Aug 14, 2026 · source did not state this