Send BitBabble any crypto news headline or article text. Get back a sentiment score and directional signal — ready to feed straight into your prediction model.
2,400+ developers • 500ms avg response • Free to start
Request body
{
"text": "SEC approves spot Bitcoin ETF, opening floodgates for institutional capital"
}Response
{
"sentiment": "BULLISH",
"score": +0.91,
"confidence": 0.92
}How it works
No ML expertise needed. Just text in, signal out.
POST any crypto-related headline, article title, or paragraph of text to the API. No scraping, no setup — just the raw text you already have.
POST /v1/analyze
{ "text": "Fed signals rate cuts as inflation c..."Our NLP model identifies market-relevant language, detects tone, infers implied direction, and scores the crypto sentiment buried in the text.
Detecting: tone, entities, implied direction, urgency
A structured JSON response with a sentiment label, a score from -1 to +1, and confidence — exactly what your prediction model needs as a feature.
{ "sentiment": "BULLISH",
"score": +0.74,
"confidence": 0.89 }The API
One endpoint. Text in. Signal out. Designed to be the easiest integration in your stack.
Request
curl -X POST \ https://bitbabble.net/api/v1/sentiment \ -H "Authorization: Bearer YOUR_KEY" \ -d '{ "text": "Bitcoin ETF approval sparks record institutional inflows" }'
Response
{
"sentiment": "BULLISH",
"score": +0.87,
"confidence": 0.92,
"label": "Strong positive market implication",
"processing_ms": 324
}Why BitBabble
Every design decision was made with one question in mind: will this make a better model feature?
Send headlines, full article bodies, tweet text, Reddit posts — the API handles it all and extracts the crypto sentiment signal.
A normalized float score you can use directly as a numerical feature. -1 is maximally bearish, +1 is maximally bullish.
Human-readable labels — STRONG_BULLISH, BULLISH, NEUTRAL, BEARISH, STRONG_BEARISH — for rule-based systems and filtering.
Trained on millions of crypto news articles. Understands halving, ETF approvals, liquidations, regulatory language, and more.
Every response includes a confidence score so you can weight signals and filter low-certainty predictions from your model.
API key in the header. No OAuth dance. No SDK required. You can be live in under 5 minutes.
Use cases
BitBabble doesn't make predictions — it gives your model the inputs to make better ones.
Add sentiment as a feature column alongside price, volume, and on-chain data. Test its predictive power in your backtests.
Before executing a trade, check the sentiment of the latest headlines for that asset. Gate trades on signal strength.
Monitor a news feed, pipe headlines through BitBabble, and trigger alerts when sentiment crosses a threshold.
Trusted by builders
“I pipe news headlines through BitBabble before every trade decision. The sentiment score is now one of the top 3 features in my model.”
Elena Voss
Quant Researcher, Apex Capital
“We tested 5 sentiment APIs. BitBabble was the only one that actually understood crypto-specific language. 'Halving' and 'ETF' are not general finance terms.”
James Chen
CTO, CryptoMetrics
“The -1 to +1 score is perfect. It drops straight into our feature vector without any preprocessing. Zero friction.”
Sara Okonkwo
Lead Engineer, DeFi Labs
Pricing
Start free. Scale when you're ready.
Free
Perfect for prototyping and testing your models.