What does the API do?

 

It performs real‑time sentiment analysis on submitted text, returning positive/negative/neutral labels with confidence scores.

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How do feeds work?

 

[Planned] You will be able to include a feedId with each request to aggregate metrics for that stream. The service will maintain rolling stats like average sentiment, variance, trend direction, and anomaly flags per feed.​

 

Can it detect anomalies or spikes?

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[Planned] The API will flag unusual sentiment movements within a feed, such as sudden spikes or irregular tone shifts, so you can alert or investigate.​

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Does it support batch processing?

 

[Planned] You will be able to submit multiple texts in a single request and receive per‑item sentiment results and errors, which simplifies bulk ingestion.​

 

What metrics are available for monitoring feeds?

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[Planned] Per‑feed stats will include average sentiment, variance, sample counts, trend direction (improving/worsening/stable), and anomaly indicators over configurable windows.​

 

Can I query by time window?

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[Planned] You will be able to use parameters like from/to or preset windows (last hour/day/week) to compute metrics and trends for specific periods.​

 

Is multilingual text supported?

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Yes. Language auto‑detection routes content to language‑appropriate models.

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What security/authentication is used?

 

Access will be via API key on secure REST endpoints,

 

Are web-hooks available?

 

[[Planned] You will be able to configure web-hooks for asynchronous processing and notifications, including anomaly events or threshold breaches.​

 

How are errors returned?

 

Structured error responses include codes and messages.

 

Can I export data?

 

[Planned] You will be able to export feed summaries and aggregates as JSON or CSV for downstream BI/reporting and archival.​