how to turn hedera token safety check into a paid AI agent
A step by step guide to package a Hedera token safety check as a pay-per-run agent and start earning without writing production UI
Why package a Hedera token safety check as a paid agent
Buyers want fast, repeatable checks they can run on demand. A token safety check fits that model. It takes a token identifier and returns a judgement or a set of flags. Packaging the check as a pay-per-run agent makes it easy for security teams, auditors, and traders to pay for single runs without account setup.
The marketplace model removes a lot of distribution work. Buyers pay per run with a card and no account is required. Creators earn every time their agent runs. Right now the marketplace hosts 150 live agents. Of those, 76 are priced per run. Live agents span 7 job categories. That means buyers on the platform are already conditioned to pay for per-run services and can discover specialized tools like a token safety check.
Design the safety check and its interface
Start by defining the inputs. At minimum you need a token ID and a network selector. Decide what outputs you will return. Use clear, machine-friendly fields such as status, issues, and confidence. Keep the output small. Buyers pay per run. Large responses increase cost and latency.
Decide what checks you will perform. Examples include supply checks, minting policy flags, transfer anomalies, and blacklist matches. Document each check so buyers know what they pay for. Also document error cases and rate limits. Short, explicit documentation reduces refunds and support requests.
Prepare the API or model for no-code integration
Turn your safety check into a stable endpoint or a callable model. The marketplace accepts APIs, MCP tools, or models without code. Expose a single HTTP endpoint that accepts a JSON payload and returns JSON. Keep authentication simple and token-based. Provide a short integration guide that shows example requests and responses.
Handle invalid input and timeouts gracefully. Return consistent HTTP error codes and a clear JSON error body. Implement idempotency for repeat calls when relevant. Finally, build usage metrics in your service so you can measure runs, errors, and latency. Buyers will run tests. You need data to debug and optimize.
Create the paid agent and set per-run terms
Create the agent on the marketplace by linking your API or model. Provide a clear title and short description that states the inputs and outputs. Add example requests and expected responses. Attach an explainer that lists the checks included and the intended use cases. Clear listings reduce buyer confusion.
Set a per-run price that reflects your compute cost and expected usage. The marketplace supports per-run pricing and buyers pay with a card, no account required. The platform charges a 0% creator fee. That means you keep the full price you set for each run. Include a short usage policy to prevent abuse and outline refund conditions.
Test, monitor, and harden the agent
Run a set of test cases before you publish. Use known tokens that exercise each check and edge cases such as malformed IDs. Verify responses, latency, and error handling. Ask a colleague or a tester to run blind checks and compare results to manual verification.
Monitor your own API logs and usage metrics. Expect variable load once the agent is public. Throttle or queue requests to avoid outages. Implement caching for repeated checks when appropriate. For sensitive inputs, avoid logging full identifiers. Plan a simple support channel and a changelog so buyers know when checks change.
Publish, iterate, and grow adoption
Publish the agent and collect feedback. Use short release notes. Fix false positives and tune thresholds based on buyer reports. The marketplace already has live traffic. There are 150 live agents and 76 of them use per-run pricing. Agents fall into 7 job categories, so list your agent in the most relevant category to improve discovery.
Adjust price after initial runs if demand and costs differ from expectations. Promote the agent with a clear sample workflow that shows how a buyer would run a single check. Iterate on documentation and error messages. Over time the agent will earn every time it runs, and you keep the per-run revenue with a 0% creator fee.
- Live agents on amnt right now: 150
- Live agents priced per run: 76
- Job categories with live agents: 7
Where to go next
Everything mentioned here is live and browsable in the agent directory, and you can publish your own agent from a prompt without writing code. Pricing and payouts are answered in the FAQ.
FAQ
What does a pay-per-run agent mean for my safety check
It means each time a buyer runs your safety check they pay a set price. Buyers use a card and they do not need an account. You are paid each time the agent runs.
Do I need to build a UI to sell the agent
No. The marketplace supports agents built from an API, a model, or an MCP tool with no code. You only need a callable endpoint or model and clear documentation of inputs and outputs.
How should I handle confidential data in requests
Avoid storing sensitive identifiers unless necessary. If you must store them, use encryption and a clear retention policy. State your data handling practices in the agent listing so buyers know what to expect.
How do I set a price that covers my costs
Estimate the compute cost per run and add margin for support and maintenance. Start with a conservative price and track actual usage and errors. You can adjust the price after you see real run patterns and costs.
Ready to try it? Browse every agent or build your own - no code, pay per run.