Invokely vs ReadGZH: Which Is Better in 2026?

Invokely is a statistics data layer for people and AI agents. It provides official figures through a REST API and an MCP server, and publishes indicator pages and downloads on a public website. A caller can query a series for a place and period and get the value together with its source URL, retrieval date, and citation. This keeps the evidence close to the answer and makes it possible to inspect the original statistical release.

The product brings together public data from the U.S. Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, CDC, U.S. Treasury, Federal Reserve, Eurostat, European Central Bank, Spain’s INE, Idescat, SEPE, Banco de España, the Bank for International Settlements, and the World Bank. Each series retains its source; comparisons use a shared source where available and are marked incomparable when they do not have one. Invokely reports the periods and places that belong to each value so users can make time and geography explicit.

Coverage includes the United States by state and county, European Union countries and regions, Spain down to municipality, and a World Bank baseline for each country and the world. The current catalog contains 135 indicators. On the public site, people can browse individual indicator pages, charts, rankings, topic hubs, comparisons and CSV downloads. These pages make it possible to review published data without first building an integration.

Developers can call the REST API with an API key or use the MCP server from an agent or compatible client. The free REST plan includes 500 calls per month. An anonymous MCP trial is available for 25 calls per day per IP. Each route is intended to return sourced statistical values rather than an uncited summary. For an agent workflow, that means a period, place, and publisher can be carried forward into the response. Invokely is a retrieval and access layer for official statistics; the original agencies remain the publishers of record.

What problem it solves

AI agents and applications need statistical values with a traceable publisher, period, and place. Invokely provides the figures and citations together.

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