Turn raw numbers into realtime intelligence—no datascience team required

Laplace AIPowered Insights runs machinelearning and NLP pipelines on top of our market data to surface the “so what?” in seconds: concise earnings highlights, anomaly alerts, sentiment breakdowns, and even naturallanguage answers to adhoc questions. Plug the API into any product and ship features that usually take months of inhouse R&D.

Why builders choose Laplace AI powered insights?

We're challenging conventions and pioneering a new tech-forward, transparent approach to market data APIs.

Instant context

Skip 100 page filings; get digestible summaries and trend flags as soon as the data lands.

One call intelligence

Each endpoint bundles heavy compute, so your stack stays lean—just cache the JSON.

Predictable pricing

Every request costs 5 credits; credits never expire and bundles start at $9.

Everything you get

What it unlocks

Features/What it unlocks

Earnings Summary

Revenue, EPS, guidance, surprises—condensed into bullet points within seconds of the release.

Key Insights

ML models flag unusual patterns or outliers across fundamentals, prices, and macro data.

Bulls Says / Bears Says

NLP extracts bullish vs. bearish commentary from calls & filings—perfect for sentiment widgets.

NLP extracts bullish vs. bearish commentary from calls & filings—perfect for sentiment widgets.

Predictive Analytics

Time series models forecast momentum, volatility zones, or breakout probabilities.

Time series models forecast momentum, volatility zones, or breakout probabilities.

Semantic Search API

Ask questions like “top semiconductor stocks by EBITDA growth last quarter” and get structured answers instantly.

Ask questions like “top semiconductor stocks by EBITDA growth last quarter” and get structured answers instantly.

Quick start

# pip install laplace-sdk
from laplace import Laplace
client = Laplace(api_key="YOUR_API_KEY")

# 5 credit call: instant earnings summary for Microsoft
msft = client.ai.earnings_summary("MSFT", period="latest")
print(msft.revenue, msft.eps_surprise, msft.key_highlights[:3])

# Natural language query
answer = client.ai.semantic_search("Which S&P 500 stocks had the highest ROIC growth YoY?")
print(answer.results[:5])

GET

/ai/earnings_summary

Auto‑generated earnings highlights

GET

/ai/key_insights

Anomaly & pattern detection

GET

/ai/bulls_bears

Bullish vs. bearish sentiment

GET

/ai/predictive

Forecast probabilities & signals

GET

/ai/semantic_search

Natural‑language financial query

Need streaming or bulk? Subscribe to WebSocket pushes or schedule nightly S3 drops—same schema, zero re‑mapping.

Need streaming or bulk? Subscribe to WebSocket pushes or schedule nightly S3 drops—same schema, zero re‑mapping.

Get started today.

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