Keycard

Developer Tools , Automation & Agents , Privacy & Compliance

A specialized security layer for AI agents that replaces permanent API keys with short-lived, task-specific credentials to prevent unauthorized data access and credential leakage.

Excellent for developers building autonomous agent workflows with tool-calling capabilities, weaker for teams running simple, single-prompt LLM applications.

Ai Agents Api Security Developer Tools Saas Compliance Mcp Automation

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

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Who Should Use Keycard?

Typical users

Backend engineers and AI architects building multi-agent systems or agents that require access to sensitive internal databases and third-party APIs.

Maturity fit

scaling

Choose this if…

You want to grant agents access to tools without sharing long-lived master API keys
Your priority is preventing 'prompt injection' from leading to full system compromise
You are adopting the Model Context Protocol (MCP) for agent-to-tool communication

Skip this if…

You only use LLMs for text generation without external tool or data access
Your workflow is entirely local and doesn't interact with sensitive cloud services
You prefer managing secrets manually via standard environment variables

About Keycard

Keycard is an identity and access management (IAM) platform built specifically for the era of autonomous agents. It addresses the security gap where agents are often given over-privileged, static credentials that are difficult to audit and easy to exploit.

Official profiles

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What it actually does

The platform acts as a secure proxy that issues ephemeral, task-scoped credentials to AI agents. It validates the agent's identity and the specific intent of a request before granting temporary access to a resource, ensuring that an agent can only perform the specific action it was assigned.

What makes it different

Unlike traditional IAM tools like Okta or Auth0 which focus on human sessions or service accounts, Keycard focuses on 'Task-Scoped' security. It understands the context of what an agent is trying to do, allowing for granular permissions that expire as soon as the task is complete.

Task-scoped credential issuance Real-time policy enforcement Cryptographic identity verification Centralized agent audit trails Model Context Protocol (MCP) integration Multi-provider API key management Automatic credential rotation

Ratings across the web

G2 0 reviews

0.0/5

Ratings aggregated from independent review platforms.

Key Features

Ephemeral Credentials

Issues keys that expire automatically, reducing the risk of leaked secrets.

Task-Level Permissions

Restricts agents to specific actions, such as 'read-only' for a specific database table during a single run.

MCP Server Support

Native compatibility with Anthropic’s protocol for standardized agent-tool interactions.

Audit Explorer

Provides a searchable history of every action an agent took and the specific policy that allowed it.

Identity Proofs

Uses cryptographic signatures to ensure requests come from authorized agent instances.

Policy as Code

Allows developers to define agent permissions in configuration files rather than manual dashboards.

Pricing

Free

Up to 3 agents
Basic task-scoped keys
Community support
Standard audit logs

Popular

Pro

Contact Sales monthly

Unlimited agents
Advanced policy engine
Extended log retention
Priority support

Enterprise

Custom yearly

Self-hosting options
SAML/SSO integration
Custom compliance reporting
Dedicated account manager

Pricing checked 4 months ago

Pricing guidance

Best plan for most users: The Free plan is sufficient for developers prototyping agentic workflows, but the Pro plan is necessary for production environments requiring unlimited agents.

Free plan enough? Yes, if you are building a single agent or a small internal tool and don't need advanced policy management.

Upgrade when:

When moving from prototype to production with multiple agents
When requiring SOC2-compliant audit logs
When needing to self-host for strict data privacy requirements

Watch out for:

Log retention is limited on the free tier
Rate limits may apply to credential issuance on lower tiers

Positioned as a critical infrastructure cost for secure AI deployment, similar to traditional IAM pricing models.

Pros & Cons

Strengths

Reduces blast radius of prompt injections
If an agent is compromised via a malicious prompt, Keycard ensures it only has access to the specific task's resources, preventing it from accessing the rest of your infrastructure.
Simplifies compliance for AI agents
Provides the detailed logs and access controls required by SOC2 and other frameworks that traditional API key management lacks.
Standardized tool access
By using MCP, it creates a consistent way for different agents (Claude, GPT-4o) to interact with your data securely.

Weaknesses

Integration overhead
Developers must modify their agent's tool-calling logic to request credentials from Keycard rather than pulling them from environment variables.

Affects: Early-stage startups looking for the fastest possible deployment.
Latency introduction
Adding an identity verification step between the agent and the tool adds a small amount of network latency to every request.

Affects: Latency-sensitive applications like real-time voice agents.
Early-stage ecosystem
As a newer tool in a rapidly evolving space, some integrations or advanced features may still be in beta or subject to breaking changes.

Affects: Enterprise teams requiring high stability and long-term support guarantees.

Real User Sentiment

Generally positive among early adopters who value the focus on the Model Context Protocol (MCP).

Users tend to like

Ease of setting up MCP servers
The shift from static to ephemeral keys
Clean developer experience for security infra

Users commonly complain about

Documentation can be sparse for complex custom policies
Limited number of pre-built tool integrations compared to Zapier

Recurring tradeoffs

Users trade a bit of setup time and latency for significantly higher security posture.

Happiest users

Security-conscious developers building agents that handle real-world financial or PII data.

Often frustrated

Developers looking for a 'plug-and-play' solution that requires zero code changes to their existing agent logic.

Use Cases

Financial Analysis Agents

Safely granting an agent temporary access to read bank statements without exposing the master API key.

Customer Support Automation

Allowing an agent to update specific tickets in a CRM while preventing it from deleting user accounts.

DevOps Agents

Giving an agent permission to restart a specific server instance for a 5-minute window to fix an alert.

Personal Assistants

Enabling an agent to read a user's calendar for scheduling without giving it access to their entire email inbox.

Data Extraction

Scoping an agent's access to a specific S3 bucket for the duration of a single processing job.

Frequently Asked Questions

How does Keycard differ from a standard secret manager like AWS Secrets Manager?

Secret managers store static keys. Keycard generates new, temporary credentials on the fly based on the specific task the agent is performing. It adds a layer of logic that decides if the agent *should* have access right now, rather than just providing the key.

Is there a free version of Keycard?

Yes, Keycard offers a free tier for individual developers and small projects, typically allowing for a limited number of agents and basic security features. Professional and Enterprise tiers are available for larger scale needs.

Does Keycard work with Anthropic's Model Context Protocol (MCP)?

Yes, Keycard is built with MCP support as a core feature. It can act as an MCP host or client, making it easier to secure standardized connections between agents and various data sources or tools.

What is the latency impact of using Keycard?

Keycard is designed for high performance, typically adding less than 50ms to the request chain. For most agentic workflows where the LLM processing time is several seconds, this overhead is negligible.

Can I use Keycard with LangChain or CrewAI?

Yes, Keycard can be integrated into any agent framework. You simply replace the direct tool call with a call through the Keycard proxy or use the Keycard SDK to fetch a scoped token before the tool call.

Does Keycard store my master API keys?

Keycard can act as a secure vault for your master keys to facilitate the issuance of ephemeral ones, or it can integrate with your existing secret manager to pull and scope credentials as needed.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

2025

Stage

Series a

Total Raised

$38M

Latest Round

Seed (Oct 2025)

Notable Investors

Andreessen Horowitz Acrew Capital Boldstart Ventures

Keycard emerged from stealth in October 2025 with a significant $38 million in combined Seed and Series A funding. This substantial early-stage investment from top-tier firms like Andreessen Horowitz and Acrew Capital indicates strong investor confidence and provides a multi-year runway to establish its platform for securing AI agents.

Full funding report high confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits: 7,290
Global rank: #3,068,289
Snapshot: Apr 2026
Traffic trend: Rising