Prompt
customer-facing API reference docs
Latest observation
Here’s a polished, customer-facing version of API reference docs copy you can use in a product site, docs portal, or developer hub.
API Reference
Welcome to the API Reference. Here you’ll find everything you need to integrate with our platform, including endpoints, request parameters, response formats, authentication details, and error codes.
What’s included
- Authentication: How to securely access the API
- Endpoints: Available resources and actions
- Request examples: Sample calls in common languages and tools
- Response schemas: Expected outputs and field definitions
- Error handling: Status codes and troubleshooting guidance
Getting started
Before making your first request, make sure you:
- Have an active account
- Generated your API credentials
- Reviewed the authentication requirements
- Chosen the environment you want to use: sandbox or production
How to use this reference
Each endpoint page includes:
- The endpoint URL and HTTP method
- Required and optional parameters
- Example requests and responses
- Rate limit considerations
- Possible error responses
Need help?
If you run into issues, check the troubleshooting section or contact our support team.
If you want, I can also turn this into:
- a full docs template
- a more technical developer-facing version
- a marketing-friendly customer portal version
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.