LinqAlpha API

LinqAlpha API

Empower your platform with advanced hybrid semantic and keyword search.

Get concise summaries with citations, designed for fast and easy integration

by finance professionals and fundamental research engineers.

Search Pro API

Search Pro API

Search Pro API

Implement Advanced Finance-Specific Natural Language Search in 5 Minutes

Implement Advanced Finance-Specific Natural Language Search in 5 Minutes

Implement Advanced Finance-Specific Natural Language Search in 5 Minutes

Hybrid Semantic + Keyword Search

Hybrid Semantic + Keyword Search

Hybrid Semantic + Keyword Search

Combine the power of semantic understanding with keyword precision to deliver the most relevant results for finance professionals.

Combine the power of semantic understanding with keyword precision to deliver the most relevant results for finance professionals.

Combine the power of semantic understanding with keyword precision to deliver the most relevant results for finance professionals.

Concise Summaries with Citations

Concise Summaries with Citations

Get clear, actionable insights with source references, ensuring transparency and trust in your results.

Get clear, actionable insights with source references, ensuring transparency and trust in your results.

Get clear, actionable insights with source references, ensuring transparency and trust in your results.

Fast and Easy Integration

Fast and Easy Integration

Fast and Easy Integration

Designed for seamless integration, our API can be implemented in just 5 minutes, saving you time and resources.

Designed for seamless integration, our API can be implemented in just 5 minutes, saving you time and resources.

Designed for seamless integration, our API can be implemented in just 5 minutes, saving you time and resources.

Search Query Response

Search Query Response

{


"resultValue": "The key points from Tesla's latest earnings report for Q4 2024 include: 



- An EPS of $0.73, missing forecasts by $0.03 



- Revenue coming in $1.52 billion below expectations (3.95% shortfall)

- A pledge to return to growth in 2025, buoying after-hours stock performance



- Record vehicle deliveries and energy storage deployments, nearing an annualized 2 million vehicles



- Emphasis on AI, Robotics, and progress in autonomous driving software



- A positive bitcoin mark-to-market impact on net income



- Free cash flow of $2 billion in Q4, totaling $3.6 billion for 2024 despite increased CapEx



- Plans to introduce new products in 2025, including a more affordable model",

 




"citations": [



{



"type": "Call Transcript",



"title": "Q4 2024 Tesla, Inc.",



"date": "2025-01-30",



"documentId": "TSLA-Q4-2024-CallTranscript"



},



{



"type": "News",



"title": "Three Big Takeaways from Tesla",



"date": "2025-02-02",



"documentId": "TSLA-News-2025-02-02"



},



{



"type": "News",



"title": "Tesla Misses on Q4 Earnings",



"date": "2025-02-02",



"documentId": "TSLA-News-2025-02-02"



}

Proprietary Data API

Retrieves documents from your proprietary store (full text included in the response).

{


 "documentId": "TSLA-Q4-2024-CallTranscript",


 "title": "Tesla, Inc. Q4 2024 Earnings Call Transcript",


 "datePublished": "2025-01-30T14:00:00Z",


 "documentText": "Good afternoon, everyone, and welcome to the Tesla Q4 2024 Earnings Call..."

}

{


 "documentId": "TSLA-Q4-2024-CallTranscript",


 "title": "Tesla, Inc. Q4 2024 Earnings Call Transcript",


 "datePublished": "2025-01-30T14:00:00Z",


 "documentText": "Good afternoon, everyone, and welcome to the Tesla Q4 2024 Earnings Call..."

}

Parsed Data API

Extracts structured financial data/KPIs and classifies the document (transcript, news, filing, etc.).

{



 "parsedData": [



 {



 "documentId": "TSLA-Q4-2024-CallTranscript",



 "classification": "Earnings Call Transcript",



 "companyName": "Tesla",



 "fiscalPeriod": "Q4 2024",



 "extractedKPIs": {



 "eps": 0.73



 },



 "status": "SUCCESS"



 },



 {



 "documentId": "TSLA-News-2025-02-02",



 "classification": "News Article",



 "companyName": "Tesla",



 "extractedKPIs": {



 "epsMiss": 0.03,



 "revenueShortfall": 1.52,



 "currencyUnit": "Billion USD"



 },



 "status": "SUCCESS"



 }



 ],



 "message": "Successfully parsed financial metrics and metadata."



}



{



 "parsedData": [



 {



 "documentId": "TSLA-Q4-2024-CallTranscript",



 "classification": "Earnings Call Transcript",



 "companyName": "Tesla",



 "fiscalPeriod": "Q4 2024",



 "extractedKPIs": {



 "eps": 0.73



 },



 "status": "SUCCESS"



 },



 {



 "documentId": "TSLA-News-2025-02-02",



 "classification": "News Article",



 "companyName": "Tesla",



 "extractedKPIs": {



 "epsMiss": 0.03,



 "revenueShortfall": 1.52,



 "currencyUnit": "Billion USD"



 },



 "status": "SUCCESS"



 }



 ],



 "message": "Successfully parsed financial metrics and metadata."



}



Vectorized Data API

Generates numeric embeddings for each document, enabling RAG pipelines and sophisticated NLP.

{



 "embeddings": [



 {



 "documentId": "TSLA-Q4-2024-CallTranscript",



 "vector": [



 -0.0173,



 0.8231,



 0.3344,



 ... (truncated for brevity) ...



 ],



 "modelName": "finance-transformer-v3"



 },



 {



 "documentId": "TSLA-News-2025-02-02",



 "vector": [



 0.1598,



 -0.2075,



 0.4829,



 ... (truncated for brevity) ...



 ],



 "modelName": "finance-transformer-v3"



 }



 ],



 "message": "Vectors generated successfully for RAG use."



}

{



 "embeddings": [



 {



 "documentId": "TSLA-Q4-2024-CallTranscript",



 "vector": [



 -0.0173,



 0.8231,



 0.3344,



 ... (truncated for brevity) ...



 ],



 "modelName": "finance-transformer-v3"



 },



 {



 "documentId": "TSLA-News-2025-02-02",



 "vector": [



 0.1598,



 -0.2075,



 0.4829,



 ... (truncated for brevity) ...



 ],



 "modelName": "finance-transformer-v3"



 }



 ],



 "message": "Vectors generated successfully for RAG use."



}