Optio vs ReadGZH: Which Is Better in 2026?

Optio is a developer API that returns decisions you can build on. Send a question and a set of options and get back a choice, a score, or a yes/no answer together with calibrated probabilities, so your application knows not just what the model picked but how confident it is. The API is a drop-in /v1/systemone endpoint that you can call from any language with a simple HTTP request. A free playground on the website lets you try the decision model in the browser before writing any code. There is no waitlist: sign up, get credits and start calling the API right away, then pay as you go with credits when you scale. Optio is built for developers, startups and product teams who want to add decision-making, ranking, triage or approval logic to their apps without training and hosting their own models.

What problem it solves

Developers who need reliable yes/no, choice and scoring decisions with probabilities they can trust, without building their own model.

ReadGZH helps AI assistants work with public WeChat Official Account articles. If an assistant cannot open an mp.weixin.qq.com link directly, the web reader provides a readable version of the article. The same capability is available through a REST API and a hosted remote MCP, so developers can use it in an Agent workflow rather than repeatedly moving article text by hand.

There are two practical ways to begin. For an occasional article, open the website and paste its public link into the reader. For repeated use, configure the Agent with the documented API or MCP connection, then give it article links as part of normal research tasks. The setup can be reused for later articles. The documentation explains the available interfaces and how to connect them to an assistant.

The returned content can be read as HTML or Markdown. This makes it useful when collecting material for a research note, comparing the arguments in several articles, or asking an assistant to summarise a source. ReadGZH supplies article content; the assistant using that content performs the analysis or summarisation. A reader should still check important statements against the original article and retain its source link when sharing a summary.

Search has a specific scope: it covers articles already present in the cache. It is not a search engine for every WeChat account or the entire WeChat archive. Keep that distinction in mind when planning a workflow that first searches for sources and then reads them.

The service offers a limited free allowance and optional paid credits. That provides a way to try the reading workflow before deciding whether it fits ongoing use. It should not be described as unlimited free access. Current usage details and setup instructions are on the official website and documentation.

Typical users include developers building Chinese-language research Agents and people who regularly ask an AI assistant to analyse public WeChat articles. Start with one article, inspect the readable result, and then choose between the browser reader and a reusable Agent connection.

Official documentation: https://readgzh.site/docs
Source repository: https://github.com/sweesama/readgzh