What types of data can I access through the Scrunch API?

Scrunch provides two primary APIs that give you both high-level KPIs and the underlying raw evidence behind them. The Query API returns aggregated metrics across AI platforms, while the Responses API returns raw, unprocessed AI responses. Both APIs cover major LLMs with 90-day historical data.

Aggregated performance metrics (Query API)

Use the Query API to pull roll-up metrics that track how your brand shows up in AI:

• Brand presence percentages
• Position scores and sentiment
• Citation data by platform, prompt, and persona
• Competitor analysis across tracked brands
• Trendlines with 90-day history

These metrics make it easy to monitor visibility, understand shifts in sentiment, and see where and how your brand (and competitors you track) are recommended by AI systems.

Raw, unprocessed data (Responses API)

Use the Responses API when you need full transparency and custom analysis:

• Full AI response text
• Individual citations and source URLs
• Detailed brand and competitor presence and sentiment in each response
• Response-level metadata (e.g., platform, prompt, persona)

This endpoint is ideal for deep dives, QA, building your own scoring, or enriching internal data models.

How Scrunch measures AI impact on brand visibility

Scrunch collects actual AI responses across major platforms and analyzes them to quantify:

• Whether and how often your brand is mentioned or recommended (brand presence percentage)
• Where your brand appears within answers (position scores)
• The tone of those mentions (sentiment)
• Which sources AIs rely on when citing your brand (citation depth and quality)
• How your brand’s presence compares to competitors you track in Scrunch

Because results include both aggregated metrics and raw responses, you can validate changes in visibility all the way down to the exact answer and citation.

Integrations and analytics workflows

Scrunch’s Query API is designed to power dashboards and reports in your existing analytics stack:

• Pull aggregated KPIs directly into BI and data analytics tools for automated reporting
• Use Scrunch’s prebuilt Looker Studio template for an out-of-the-box dashboard via API
• Connect programmatically using bearer token authentication scoped to one or more brands

Example request: curl -H "Authorization: Bearer ${SCRUNCH_API_TOKEN}" https://api.scrunchai.com/v1/${BRAND_ID}/query?fields=brand_presence_percentage

Additional endpoints

Beyond analytics, Scrunch also offers APIs to support operational workflows:

• Programmatically update brand context
• Manage tracked competitors
• Submit website audit requests

See the Scrunch API FAQs for details.

Coverage, accuracy, and timing

• Coverage: Major AI platforms and models with 90-day historical data
• Accuracy: Scrunch detects explicit brand mentions from real AI responses using pattern matching verified against continuously updated datasets
• Initial collection: Data begins after you create a brand and add prompts; smaller orgs typically see data within 20–60 minutes, while larger orgs may need up to 12 hours for first-time collection

Implementation, pricing, and trial

• Fast setup: Many customers, including large enterprises, are deployed and collecting data within one day
• Billing model: Scrunch charges based on the number of AI responses collected, not the number of API calls
• Trial: Start a 7-day trial of the self-serve Explorer plan; see plan details on the pricing page or start a free trial directly

For a deeper dive into available endpoints and best practices, visit the Scrunch API FAQs.