Your AI Agent Has No Identity, No Credential Security, and No Reputation. That's a Problem.
We gave agents the ability to act autonomously, but never gave them the basics: identity, secure credentials, or analytics. Here's why that's broken and what we built to fix it.
Zahid Ahmed
Founder, NervePay
Right now, someone's AI agent is making API calls with a hardcoded key sitting in a .env file.
Another agent has the same OpenAI key copy-pasted across three repos.
A third just had its Stripe key leaked because a developer committed it to a public repo by accident.
This is the state of agent infrastructure in 2026. We gave agents the ability to act autonomously, but we never gave them the basics:
Who are you? Prove it. Where are your credentials? Are they safe? Can I trust you?
Nobody has good answers to these questions.
That's why I built NervePay.
Every agent is missing three things.
1. Identity
If 50 agents hit your API tomorrow, could you tell them apart?
Most teams use API keys for this. But an API key doesn't tell you who is calling. It tells you which key is being used.
Keys get shared. Keys get leaked. Keys don't carry history.
NervePay gives every agent a W3C DID (Decentralized Identifier) and an Ed25519 keypair. The agent signs every request. The server verifies.
No passwords. No OAuth flows designed for browsers. No shared secrets sitting in environment variables.
The identity is the agent's. Not the platform's. Not the developer's. The agent's.
2. A Secure Place for Credentials
Here's a question nobody talks about: where do your agent's API keys actually live?
If the answer is "environment variables" or ".env files" or "hardcoded in config" — you have a problem.
Environment variables get shared across processes. .env files get committed. Config files get copied. None of these were designed for autonomous agents that need credentials at runtime.
We built a secrets vault directly into NervePay. Here's how it works:
Your human adds a secret in the dashboard
That's it. They go to nervepay.xyz/dashboard, click "Add Secret," type the key, hit save.
The agent pulls it on demand
When the agent needs an OpenAI key, it calls the vault. The vault verifies the agent's Ed25519 signature, decrypts the secret, logs the access, and returns the value.
The key never touches plaintext storage
No conversation. No config file. No environment variable. Ever.
Under the hood:
- +AES-256-GCM envelope encryption — secrets encrypted at rest with a per-secret key, wrapped by a master key
- +Per-agent isolation — your agent only sees its own secrets, verified by DID signature
- +Full audit trail — every access logged with timestamp, IP, and success/failure
- +Read-only for agents — a compromised agent can't modify its own credentials
One vault. Cryptographic access. Full audit trail. Zero keys in plaintext.
3. Analytics That Actually Tell You Something
Here's what most agent platforms give you: request counts and error rates. Maybe a dashboard with some graphs.
That tells you nothing about the agent itself.
NervePay tracks every authenticated request and every external API call the agent reports. Not just volume — behavior. Every call is tied to a cryptographic identity, so you know exactly which agent did what, when, and how it went.
- •Consistency — does the agent behave predictably over time?
- •Reliability — what's its success rate across different services?
- •Cost awareness — is it staying within spending limits?
- •Risk signals — are there anomalies in behavior patterns?
This isn't generic API monitoring. This is per-agent intelligence. You can see that Agent A has a 99.8% success rate across 10,000 calls over 6 months, while Agent B started failing 30% of its requests last Tuesday.
Product teams can set thresholds based on real data: "Only allow agents with a reliability score above 70 to access production endpoints."
Agent developers get something they've never had before — a verifiable track record. Proof that their agent is reliable, not just claimed to be.
The shift is from traffic analytics to agent analytics. Not "how many requests hit the server" but "which agent is doing what, and should I trust it?"
The Vault Changes Everything
When an agent installs the NervePay skill, it writes a rule into its persistent memory: always check the vault first before making any API call that needs a key.
- +The agent never asks you to paste a key into chat
- +The agent never hardcodes a key in a script
- +The agent never stores a key in a local file
- +If a key is missing, the agent tells you to add it to the dashboard
The vault becomes the single source of truth for all agent credentials. Every access is cryptographically authenticated and audit-logged. You have a complete record of which agent accessed which secret, when, and from where.
Compare this to the status quo: keys scattered across .env files, config managers, chat histories, and Slack DMs. No audit trail. No encryption at rest. No way to know which agent used which key.
The vault isn't just a feature. It's the foundation of secure agent operations.
The Uncomfortable Truth
Let me be direct: most agent deployments today have zero credential security.
I've seen production agents with:
- -API keys hardcoded in source code pushed to public GitHub repos
- -The same OpenAI key shared across 12 agents with no way to revoke one without breaking all of them
- -Credentials passed through chat messages that end up in training data
- -No audit trail of which agent accessed which service, ever
This works when you have one agent running locally.
It falls apart the moment you scale to 5, 10, or 50 agents across a team. And it's a ticking time bomb for any company that takes security seriously.
The vault solves this. Not with complexity — with the right abstraction. Your human manages keys in a dashboard. Your agent pulls them cryptographically. Everything is logged. Everything is encrypted. Everything is scoped.
What This Looks Like in Practice
Step 1: Agent gets an identity
One API call. The agent receives a DID, a keypair, and a recovery mnemonic. It can start authenticating immediately.
Step 2: Human adds secrets to the vault
Go to the dashboard. Add your OpenAI key, your Stripe key, your database password. Each secret is encrypted with AES-256-GCM and scoped to the agent's DID.
Step 3: Agent works
It pulls the OpenAI key from the vault. Makes the API call. Reports the usage to NervePay. Reputation score ticks up.
Step 4: Trust builds
After a week, the agent has a verified track record. Any platform can check its DID and see: 2,000 successful API calls, 99.8% success rate, consistent behavior, human-verified owner.
No key was ever in plaintext. Every access was logged. The identity is portable across every service the agent touches.
Why Now
The agent economy isn't coming. It's here.
Companies are deploying autonomous agents in production today. They're accessing real APIs, real databases, real payment systems.
The infrastructure hasn't caught up. Identity is an afterthought. Credential management is a mess. Trust is assumed, not verified.
Every month this goes unsolved, the attack surface grows. Every agent with a hardcoded key is a vulnerability. Every agent without verifiable identity is a liability.
Where This Goes
Our goal is to make agent identity and credential security as invisible as TLS is for the web.
You don't think about HTTPS when you load a site. You just trust it's secure.
That's the standard for agents:
- +Identity that's verifiable by default
- +Credentials that are encrypted and audited by default
- +Reputation that builds automatically
- +Privacy that's preserved by design
If we get this right, the future is agents you can actually trust — not because someone told you to, but because the cryptography proves it.
— Zahid Ahmed, Founder of NervePay
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