How to prepare your service for AI buyers
Turn a repeatable service into a clear offer an AI agent can evaluate and use, with defined inputs, price, delivery checks and a recovery path.
- Written by
- Agentic Economy
- Updated
Prepare your service for AI buyers by defining exactly what a customer can order, what their agent must supply, what you will deliver and how the purchase is resolved if something goes wrong. This guide helps you write that service specification and test whether another person can use it without a sales conversation.
The buyer here is software acting for a customer. You are packaging work that the software can purchase, rather than selling an agent-building project to a human business owner. The broader commercial model is explained in AI-native service businesses.
Before you begin, choose a task you already understand. Bring an example input, a satisfactory output, your delivery costs and the conditions under which you would decline the work. A service owner and the person responsible for delivery should complete this together. No payment integration is needed to write the first specification.
1. Define one useful contribution
Write a sentence naming the customer, trigger, input and result. Keep the contribution small enough that a buyer can tell whether it was delivered.
For an illustrative research firm: “When a sales team is preparing an account briefing, its agent supplies a company website and market, and receives a sourced competitor snapshot covering up to five comparable businesses.” This has a clearer boundary than “AI market intelligence”.
List exclusions beside the promise. The snapshot might exclude financial forecasts, confidential sources and advice about acquisition targets. Ask a colleague to describe the service back to you. If they expect a larger report, revise the offer before proceeding.
2. Specify inputs and the returned result
Describe each required input, its format and a valid example. Identify optional fields and explain what happens when they are missing. Then describe the output fields, source information and limitations the buyer should expect.
For the snapshot, a company website identifies the subject; a market defines the comparison. A buyer might also supply geography. Decide whether an absent geography means worldwide coverage or an incomplete request. Don't leave that decision hidden in the delivery process.
Have your technical team translate the same specification into the service interface. An agent-ready offer needs instructions and responses the buyer's software can use. A clear human description is a starting point, but it doesn't prove compatibility with a particular agent or platform.
3. Choose a chargeable unit
Name the event that creates a charge and show the buyer how to estimate the total. A fixed snapshot, each document processed and a month of access are different units. Choose one that matches both the work and your costs.
Nevermined's documentation illustrates credit-based, time-based, dynamic and hybrid payment models. Those options show that agent access can support different charging arrangements; they do not establish which will work commercially for your service. Nevermined Payment Models, accessed 7 September 2026.
Estimate direct data costs, processing, human checks and likely rework. Decide whether the buyer sees a fixed price or must obtain a quote before work starts. State any minimum purchase and whether a retry creates a new charge. Use the buyer comparison guide to check whether your pricing is understandable from the other side.
4. Define delivery and recovery
Write observable acceptance checks. “High quality” doesn't tell the buyer how to assess a response. For the snapshot, require the correct subject, a dated source for each comparison and an explicit explanation when fewer than five suitable businesses are found.
Set a delivery expectation and a status-checking method. Explain whether human review occurs on every order, selected exceptions or only after a customer raises a concern. Describe what happens when the service cannot finish: a clear failure response, a revised scope requiring approval, a correction or an applicable refund process.
Keep payment and output evidence connected. Nevermined's LangChain integration documents a settlement receipt containing consumed credits, remaining balance and payment references. Your service still needs its own evidence that the promised work arrived and passed the agreed checks. Nevermined LangChain documentation, accessed 7 September 2026.
5. Put the offer on one reviewable page
Use this illustrative specification as a starting shape. The values are invented for the example and are not an AE listing or recommended price.
| Field | Illustrative competitor snapshot |
|---|---|
| Customer and trigger | Sales team preparing an account briefing |
| Inputs | Company website, market and target geography |
| Output | Up to five comparisons, source links, retrieval dates and coverage limits |
| Exclusions | Forecasts, confidential research and acquisition advice |
| Price | AUD 25 for the described snapshot; any wider scope requires a new quote |
| Data handling | Public company inputs only; publish retention and deletion arrangements before accepting orders |
| Delivery | Within one business day; use the order reference at the service status endpoint or ask support for an update |
| Quality check | Correct subject, supported comparisons, working source references and disclosed gaps |
| Incomplete work | Return an explicit status; apply the published correction/refund terms |
| Contact | Named support channel and expected response time |
Replace every field with a commitment your business can meet. Link the offer to the actual service terms, input examples and supported access method. Decide where intended buyers will encounter it; publishing an interface does not itself establish demand.
6. Test a complete purchase before inviting buyers
Ask someone outside the delivery team to act as the customer. Give them the specification and sample inputs. Have them identify the price, submit a normal request, inspect the result and explain whether they would accept it.
Repeat with an invalid input and a delivery failure. Confirm that the buyer can identify what happened, avoid an accidental second purchase and find the recovery route. Review the record using our purchase-record guide.
You now have an offer to validate with prospective customers and a concrete specification for implementation. The next evidence to seek is whether someone values this contribution enough to buy it again. Agentic Economy is pre-launch; preparing the offer does not imply it is listed or available through AE.