How AI Agents Can Discover 20,000 APIs with Koyori Utils API
Discovering APIs for AI Agents: A Practical Koyori Utils API Example AI agents are increasingly useful when they can discover tools, inspect their capabilities, and decide which API to use. But a good agent workflow s
Discovering APIs for AI Agents: A Practical Koyori Utils API Example
AI agents are increasingly useful when they can discover tools, inspect their capabilities, and decide which API to use.
But a good agent workflow should separate API discovery from purchasing and executing paid operations.
Here's a practical example using Koyori Utils API, a service offering 20,000 API operations for developers, bots, and AI agents.
Step 1: Find available tools
Koyori Utils API provides a public discovery catalog.
You can explore it here:
https://koyori-utils-api.koyori-aibtc.workers.dev/agents/catalog
For example, search for JSON-related tools:
curl -G \
"https://koyori-utils-api.koyori-aibtc.workers.dev/agents/catalog" \
--data-urlencode "q=json" \
--data-urlencode "limit=3"
Inspect the returned catalog data to find an operation relevant to your task.
Step 2: Inspect the OpenAPI specification
Before calling an endpoint, inspect its supported method, request schema, and response format.
OpenAPI specification:
https://koyori-utils-api.koyori-aibtc.workers.dev/openapi.json
This helps prevent AI agents from guessing endpoint names or sending malformed requests.
Step 3: Try a read-only Python example
This example retrieves a small catalog search without purchasing anything or executing a paid utility operation.
import json
from urllib.parse import urlencode
from urllib.request import urlopen
base = "https://koyori-utils-api.koyori-aibtc.workers.dev"
query = urlencode({"q": "json", "limit": 3})
with urlopen(f"{base}/agents/catalog?{query}", timeout=20) as response:
catalog = json.load(response)
print(json.dumps(catalog, indent=2)[:3000])
This is a discovery example, not a payment or subscription automation.
Step 4: Understand payments before using paid APIs
Koyori Utils API includes STX subscription options.
Check the live subscription page for current plans and purchasing instructions:
https://koyori-utils-api.koyori-aibtc.workers.dev/subscription
An autonomous agent should always obtain explicit human authorization before making a purchase or signing a wallet transaction.
If a payment is pending, it should not automatically retry and risk paying twice.
Step 5: Follow the AI agent quickstart
The AI-oriented guide explains the discovery, purchasing, and activation workflow:
https://koyori-utils-api.koyori-aibtc.workers.dev/agents/quickstart
A fuller GitHub discovery example is available here:
Final thoughts
A useful AI agent integration should be:
- Discoverable: tools and schemas are accessible.
- Predictable: operations are inspected before use.
- Secure: secrets and API keys remain private.
- Payment-safe: purchases require authorization, with no automatic duplicate payments.
If you're building API-powered AI agents, feel free to explore the catalog and documentation.
Project: https://koyori-utils-api.koyori-aibtc.workers.dev/
Disclosure: This article introduces a project I am involved with. It was prepared with AI writing assistance.
Originally published by Dev.to WebDev. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.