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FinSignals

Finance-tuned sentiment API that classifies posts and news across seven heads — sentiment, direction, sarcasm and more — in one call.

freemiumFree at $0/mo for 1,000 credits with no card, Starter at $29/mo for 100,000 credits, Pro at $99/mo for 1,000,000 credits, and a higher tier listed at $299. Annual billing saves 20%. One single request is one credit; batches charge 1.00 for the first item and 0.70 for each additional.View full pricing →

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https://finsignals.ai

About FinSignals

FinSignals is a finance-tuned NLP API that classifies Reddit posts, news and social financial content across seven dimensions in a single call, aimed at quant developers and fintech teams who would otherwise send the same text to a general-purpose LLM. A single classify request returns sentiment, directionality (bullish or bearish), quality, a relevance score, an author-confidence score and a sarcasm flag together in one response envelope, which is the practical difference from prompting a chat model per dimension. Sarcasm and meme-stock detection are explicitly part of the model rather than an afterthought, which is what makes the retail-forum corpus tractable at all. There is a Python SDK, a public GitHub presence, an in-browser API tester with sample posts covering bullish DD, bearish fundamentals, meme stock, sarcasm, spam and news reaction, and a batch endpoint that accepts up to 256 items per request. The vendor's own cost comparison puts a Pro-tier call at $0.000396 against $0.0024 for a mid-tier LLM, claiming 6–30x cheaper and 20x faster, with latency quoted at 5–15 ms. Pricing is credit-based with no overages unless you enable them: one single POST is one credit, and batch requests charge one credit for the first item plus 0.70 for each additional item. Credits do not expire while the subscription is active, and there is an annual option at 20% off.

Key Features

Seven classification heads returned in a single call
Sentiment, directionality, quality, relevance, author confidence and sarcasm
Batch endpoint accepting up to 256 items per request
Python SDK plus in-browser API tester with sample posts
Quoted 5–15 ms latency
Credit-based pricing with opt-in overage only

Tags

fintechnlp-apisentiment-analysisquantdeveloper-api
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