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Announcing Ocular API v2.0: Real-time Sentiment Telemetry.

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We are excited to deploy Ocular API v2.0. This update moves beyond simple mention-tracking and introduces a critical new layer for the modern enterprise: Real-time Sentiment Telemetry.

As Large Language Models (LLMs) shift from static training sets to real-time web retrieval, brand perception can change overnight. With v2.0, marketing and engineering teams can now pipe algorithmic sentiment directly into their internal BI dashboards, giving them a live pulse on how AI engines frame their brand.

"In the generative era, visibility is vanity. Sentiment is sanity. It’s not about how many times you are cited, but the context in which those citations occur."

What’s New in v2.0?

The v2.0 update is a complete overhaul of our core tracking engine, designed for high-scale enterprise environments that require sub-second latency and absolute data precision.

1. Sub-second Sentiment Analysis

Our updated NLP engine now classifies algorithmic outputs into 15 distinct sentiment categories in real-time. Whether an AI perceives your product as "enterprise-ready," "overpriced," or "technically superior," you can see the data behind the perception instantly.

2. Custom Webhooks & Alerts

Don't wait for a weekly report. API v2.0 introduces granular webhooks. You can now configure Ocular to trigger a Slack, PagerDuty, or Email alert the moment your brand’s Share of Voice (SOV) drops below a certain threshold or if a high-intent query triggers a negative sentiment loop.

3. Cross-Model Benchmarking

Different models have different biases. v2.0 allows you to compare sentiment across ChatGPT, Claude, Perplexity, and Gemini side-by-side. This reveals "Model-Specific Bias," allowing your team to tailor technical documentation for specific LLM architectures.

Engineering-First Integration

We built Ocular for the teams that build the world. That’s why v2.0 features comprehensive documentation and a new Python SDK.

  • RESTful Architecture: Seamlessly integrate sentiment data into Snowflake, Looker, or Tableau.

  • Granular Auth: Enterprise-grade security with scoped API keys and SOC 2 compliant data handling.

  • Raw Telemetry Access: Get access to the raw logs of the LLM outputs for your own internal RAG training.

The Future of Brand Measurement

The gap between a brand’s reality and its algorithmic representation is where revenue is lost. With Ocular API v2.0, we are giving enterprises the tools to close that gap.

The update is now live for all Professional and Enterprise tier users. Explore the new endpoints in our updated Documentation today.

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