FinSignals
Financial sentiment analysis APIClassify market text in milliseconds
Highlights
What you can do with it
- A quant developer reads discussion on a stock to gauge market mood
- A fintech team embeds the API in its own product for live analysis
- An analyst processes news and social posts before writing a market note
How to use it
- 1 Register on the site and get an API key
- 2 Install the client library and add your key
- 3 Send the posts or news text you want classified
- 4 Read the returned labels and use them in your own pipeline
Who it is for
Pros
- Low latency suits near real-time workflows
- Batch calls reduce the number of requests you need
- A free tier lets you test it before paying
Limitations
- Free credits are capped monthly and the free tier rules may change
- It is an API, so you need coding work to integrate it
- Automated labels are not investment advice and can be wrong
What FinSignals is
FinSignals is a natural language processing API aimed squarely at financial text. It takes posts, news articles, and social discussion about markets and returns structured labels rather than free form summaries. A single call classifies content on seven dimensions: sentiment, direction, quality, post type, relevance, author confidence, and sarcasm. That last one matters, because sarcasm on forum posts often flips the apparent mood of a thread and a plain sentiment read would get it wrong. The service is built for speed, with each classification taking roughly five to fifteen milliseconds, and one call can carry up to 256 posts, which suits pipelines that process a firehose of content. A free tier offers one thousand credits per month with no credit card, and an API key can be issued in about a minute.
What you can do with it
- Classify posts, news, and social content in seven dimensions at once.
- Detect sarcasm and irony that would otherwise reverse the reading.
- Batch up to 256 posts in a single request.
- Feed results into trading, research, or product pipelines with low latency.
- Start testing without a credit card using the monthly free credits.
Who it is for
- Quantitative developers building or backtesting trading pipelines.
- Fintech teams that want market text analysis inside their own product.
- Financial analysts who need to process large volumes of news and posts.
- Researchers studying how retail discussion relates to market moves.
What to watch out for
This is a developer tool, not a dashboard, so expect to write integration code before you see anything useful. The free tier is capped at one thousand credits per month and those terms can change, so check before you depend on the allowance. Most importantly, automated labels are a reading of text, not investment advice; models make mistakes, sarcasm and context slip through, and any trading or reporting decision built on top of the output should include your own review.
FAQ
Is there a free tier?
Yes. It includes one thousand credits per month and does not require a credit card.
How fast is it?
Each classification takes about five to fifteen milliseconds, and one call can process up to 256 posts.
What does it return?
Labels across seven dimensions, including sentiment, direction, quality, relevance, author confidence, and sarcasm.
Why it is free
What the official page says： free tierfree credits
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
