Scrunch provides two primary APIs—plus a few supporting endpoints—to help teams measure and improve brand visibility across AI platforms.
Available APIs
Query API
Returns aggregated performance metrics across AI platforms.
Examples: brand presence percentages, position scores and sentiment, citation data by platform/prompt/persona, and competitor analysis.
Designed for analytics dashboards and reporting.
Responses API
Returns raw, unprocessed AI responses.
Examples: full response text, individual citations and URLs, competitor presence and sentiment, and response metadata.
Ideal for research, QA, and custom modeling.
Context and Admin APIs
Programmatically update brand context and competitors.
Submit website audit requests to evaluate and improve AI readiness.
Coverage and history
Both main APIs cover major LLMs with 90-day historical data.
What you can measure
Scrunch is built to quantify how your brand shows up in AI—and how that compares to competitors—so you can track progress and act:
Brand visibility in AI: brand presence percentages and position scores by platform and prompt.
Sentiment and share of voice: sentiment at the brand and competitor level.
Citations and sources: which URLs and domains models cite, by platform and persona.
Competitive benchmarking: side-by-side presence, sentiment, and citation comparisons.
Trend analysis: 90-day historical views to see movement after campaigns, content changes, or AXP deployments.
These metrics are available via the Query API for easy reporting, while the Responses API lets you inspect the underlying answers and sources in detail.
Example: authenticate and run a first query
Scrunch uses bearer token authentication. Tokens can be scoped to a single brand or multiple brands within an organization.
If you see authentication errors, confirm your bearer token is active in Settings → API keys and hasn’t expired or been revoked.
Data collection timing and billing
Collection timing
Scrunch begins collecting responses after you create a brand and add prompts.
Smaller orgs: expect initial data within 20–60 minutes.
Larger orgs: initial collection can take up to 12 hours.
Billing model
Scrunch charges based on the number of AI responses collected, not the number of API calls. Costs increase as you add more brands, prompts, or AI platforms to track.
Integrations and analytics workflows
Business intelligence tools
The Query API is designed to plug directly into common BI and analytics tools for automated reporting and dashboards.
You can also use Scrunch’s prebuilt Looker Studio template to visualize key metrics via API out of the box.
Custom pipelines
Use the Responses API to pipe raw answers and citations into your data lake or research stack for deeper analysis, QA, and enrichment.
AI platform coverage
Scrunch tracks prompts and responses across major LLMs, enabling consolidated, cross-platform measurement via a single API.
AI-readiness checks and AXP
Technical checks
Submit website audit requests via API to assess AI-readiness and identify content or structure issues that may impact how AI agents interpret and cite your site.
Update brand context and competitors programmatically to keep monitoring aligned with your go-to-market changes.
Agent Experience Platform (AXP)
AXP lets you deliver an AI-optimized version of your content to AI agents visiting your site, helping improve how models read, cite, and summarize your brand. Learn more on the AXP overview.