Tarification

Index your Polygon financial data in real time with AI

Swiftask turns your Polygon data streams into structured, indexed information. Automate data preparation for instant analysis.

Resultat:

Save significant time on data processing and accelerate your financial decision-making.

The challenge of manual financial data indexing

Processing massive volumes of financial data from Polygon requires complex infrastructure. Teams often waste countless hours manually structuring, cleaning, and indexing this data before they can even begin to analyze it.

Les principaux impacts négatifs :

Analysis latency: Manual processing creates a lag between receiving data and making it available for analysis, rendering decisions obsolete.
Human error risk: Repeated manipulation of complex financial data drastically increases the risk of input or formatting errors.
High operational costs: Dedicating human resources to data indexing is a waste of high-value skill sets.

Swiftask deploys specialized AI agents that connect to Polygon to automatically index your data in real time, ensuring accuracy and instant availability.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional management

A team extracts Polygon data via API, cleans it using complex Python scripts, manually indexes it into a database, and waits for a nightly update to perform analysis.

Swiftask approach

The Swiftask agent is configured to listen to the Polygon stream. It ingests, normalizes, and indexes data upon receipt. Your dashboards update continuously, without intervention.

Deploy your indexing pipeline in 4 steps

ÉTAPE 1 : Connect to Polygon

Configure access to your Polygon streams in Swiftask using your API keys securely.

ÉTAPE 2 : Define indexing schema

Use the no-code interface to define which data types (price, volume, trades) to index and the criteria for indexing.

ÉTAPE 3 : Configure destination

Specify where the agent should send the indexed data (database, cloud warehouse, reporting tool).

ÉTAPE 4 : Automation and monitoring

Activate the agent. It runs in the background, indexing data 24/7 with full log tracking.

Advanced indexing capabilities

The AI agent analyzes data types (tick, bar, aggregate) and applies necessary normalization rules before indexing.

Connecteur cible : L'agent exécute les bonnes actions dans polygon selon le contexte de l'événement.
Actions automatisées : Continuous ingestion of WebSocket streams. Data format conversion. Indexing into structures optimized for querying. Alerting on stream failures.
Gouvernance native : All indexing operations are tracked in Swiftask for complete compliance.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-polygon@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Competitive advantages of AI processing

1. Execution speed

Drastic reduction in time between data receipt and exploitation.

2. Technical precision

AI ensures constant normalization, eliminating manual formatting errors.

3. Native scalability

Handle growing volumes of Polygon data without additional infrastructure effort.

4. Operational agility

Change indexing rules instantly via the no-code interface without redeployment.

5. Reduced IT costs

Less reliance on development teams to maintain data pipelines.

Commitment to data security

Swiftask applique des standards de sécurité enterprise pour vos automatisations polygon.

API key encryption: Your Polygon access credentials are encrypted and isolated within your Swiftask environment.
Granular access management: Control who can configure or view indexing pipelines.
Operation traceability: Complete history of every processed data point for rigorous auditing.
Isolated architecture: Each workspace is logically separated to ensure data integrity.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Quantifiable performance gains

Métrique	Avant	Après
Processing time	Several hours (batch)	Real-time
Data errors	Significant rate	Near 0%
Pipeline maintenance	Weekly	Automatic
Processing cost	High (human resources)	Optimized (SaaS)

Passez à l'action avec polygon

Save significant time on data processing and accelerate your financial decision-making.

Exécutez vos ordres de trading automatiquement avec Polygon

Cas d'usage suivant.