Rolli adds enterprise API and MCP for verified social media intelligence

By AI, Created 10:38 AM UTC, May 20, 2026, /AGP/ – Rolli has launched an enterprise API and Model Context Protocol to let companies plug verified social media intelligence into products, internal systems and AI assistants. The rollout targets teams that need structured, cross-platform signals instead of raw social feeds to spot trends, coordination and reputational risk faster.

Why it matters: - Enterprises can now embed verified social media intelligence directly into software products and AI workflows. - The launch is aimed at organizations that need to separate organic conversation from inauthentic amplification before reputational issues spread. - Rolli positions the product as a structured layer on top of public social data, which can reduce the need to stitch together fragmented feeds.

What happened: - Rolli announced an enterprise API and Model Context Protocol on April 30, 2026. - The new offering gives companies a direct integration path into software products, internal systems and AI assistants. - The platform is available through REST API or MCP. - Rolli said interested customers can request evaluation keys or explore an enterprise integration at the company’s API page or by contacting the Rolli team.

The details: - Rolli’s system uses a single schema to deliver multi-platform intelligence built entirely on public signals. - The product covers eight major social platforms. - The platform surfaces narrative trends, breakout moments, coordination signals and enriched post-level data. - Precomputed enrichment includes entities, sentiment, velocity and authenticity scoring. - Teams can query, analyze and act on verified social signals in real time. - Rolli says organizations are already using the system to identify coordinated narrative spikes, assess emerging trends and respond to reputational risks before they escalate.

Between the lines: - The launch reflects growing demand for AI-ready data layers that are structured enough to plug into enterprise systems without heavy customization. - Rolli is framing authenticity as the key differentiator, not just volume or speed. - The emphasis on verification suggests the company is targeting buyers who are frustrated by raw social data and false signals.

What’s next: - Rolli will likely use the API and MCP rollout to push deeper into enterprise workflows and AI assistant integrations. - The company is inviting evaluation and integration discussions now, which suggests early customer onboarding is the immediate next step. - Future adoption will likely depend on how well Rolli proves its verification and enrichment outputs in live enterprise use cases.

The bottom line: - Rolli is betting that verified, structured social intelligence will become a core data layer for enterprise products and AI systems.