Pricing

API Calls

Usage-based pricing for real-time narrative intelligence.

Pay As You Go
$0.65 per call
  • No commitment
  • Buy credits anytime
  • Auto top-up optional
Most Popular
Professional — Monthly
$0.45 per call
  • Volume discounts applied automatically
  • No overage penalties
  • Usage discounts up to 20%
20k 40k 80k
12,000 calls
•
No overage penalties. Overages billed at your plan rate.

Common scenarios (examples)

Prototype / MVP 10k calls → $0.55/call → $5,500/mo
Monitoring program 40k calls → $0.50/call → $20,000/mo
High‑volume ops 100k calls → $0.40/call → $40,000/mo

Examples use the published per‑call tiers. Actual usage depends on workflow and endpoints.

≈ $13.75 per workflow at your selected tier

Example only — calls per workflow vary with endpoints, pagination, and how many steps you run.

Teams often compare this to analyst time, agencies, or social listening tools.

If you need an ROI worksheet for procurement, contact sales.

Trust & procurement
  • Security questionnaires and data‑handling documentation available on request.
  • DPAs and contracting support available on request.
  • Invoice/PO workflows available for enterprise.
  • SLA options and onboarding support (depending on plan/workflow).
  • SOC 2 readiness / roadmap can be discussed during procurement (on request).
See Enterprise options →
Usage planner

At 12,000 calls/month, that’s about 400 calls/day (~17/hour).

Example capacity: ~20 topics/day (using your assumption).

Clearly approximate. Actual topics depend on your query design and data distribution.

See what’s included ↓

Everything included with the Rolli IQ API

Endpoints return raw posts plus optional intelligence outputs — sentiment, narrative summaries, topic trees, and coordination signals — depending on what you request. See full documentation →

Common outputs (by endpoint):
  • Raw posts + metadata
  • Post‑level sentiment & emotion (where available)
  • Platform summaries + sentiment classification
  • Topic Trees (conversation branches)
  • Breakout moments + co‑occurrence signals
  • Coordination & amplification metrics (X‑first)
Multi‑platform keyword & user search
  • Boolean keyword queries with AND/OR/NOT + parentheses.
  • Collect across X (Twitter), Reddit, Bluesky, YouTube, Instagram, Facebook, Weibo.
  • Pull posts + engagement stats with consistent structure (where available).
Sentiment & emotion (with targets + reasons)
  • Post‑level sentiment + emotion classification (where available).
  • Includes sentiment_target and sentiment_reason to explain “why”.
  • Designed to support dashboards, alerts, and reporting.
Platform summaries you can quote
  • Per‑platform sentiment classification.
  • Per‑platform narrative summary of what people are saying.
  • Great for briefings, weekly reports, and exec updates.
What’s breaking — and what’s driving it
  • Breakout moments: key discussion points over time.
  • Co‑occurrence: repeated hashtags + URLs associated with the story.
  • Built for rapid narrative tracking.
Topic Trees (conversation branches)
  • Turn noisy threads into a structured topic tree.
  • Branch summaries + sentiment at the cluster level.
  • Ship “what changed” without manual reading.
Coordination & amplification signals
  • Coordination score (0–100) to flag potential coordination patterns.
  • Frequent‑poster and distribution signals.
  • Deepest metrics are currently strongest on X.
Raw posts data for your pipeline
  • Fetch posts data by search + platform.
  • Includes URLs, timestamps, author handles, profile fields, and interaction stats (where available).
  • Use for warehousing, audits, and long‑term analysis.
Built for shipping
  • Webhooks: set a return_url to receive completed search results.
  • Usage endpoint for tracking API consumption.
  • Official Postman collection for fast onboarding.
Common workflows
Crisis triage
Keyword search → platform summaries → top posts → Topic Tree.
Weekly narrative brief
Sentiment by platform → breakout moments → narrative summary.
Manipulation check (X‑first)
Coordination signals → co‑occurrence URLs/hashtags → export.
Read API documentation → MCP setup (ChatGPT / Cursor) →
Use Rolli via MCP (Model Context Protocol)

Prefer natural‑language workflows? The Rolli MCP Server exposes the API as MCP tools so ChatGPT, Cursor, and other MCP clients can run searches and fetch results without you writing HTTP calls.

Show example MCP config 
{
  "mcpServers": {
    "rolli": {
      "url": "https://rolli-mcp.fastmcp.app/mcp",
      "headers": {
        "ROLLI_API_TOKEN": "<your-token>",
        "ROLLI_API_USER": "<your-user>"
      }
    }
  }
}

Example only — see MCP setup docs for current config options.

Need enterprise procurement support? Ask about DPAs, contracting, and delivery options.

Coverage notes: User‑search analytics results are available for X; Facebook/Instagram user searches return posts data. Deep coordination/metric analytics are currently strongest on X.