Recast AI Library: API/MCP Reports & Skills

More ways to work with your Recast model.

Explore reports, dashboards, and reusable skills. Preview an example, then build it with your own data through the Recast API or MCP.

Latest additions

MCP

Lower-funnel decomposition

Trace branded search and retargeting demand back to baseline demand and the paid channels that drive it.

API

Whitelabeled Recast Insights

Build a dashboard in your own brand with Recast’s channel insights, response curves, and model diagnostics.

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10 reports & skills

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API bundles include Python code and an agent skill. MCP skills run in Claude connected to Recast.

Channel Marginal ROI
Linear TV 9.29×
Podcast 5.28×
Meta retargeting 4.96×
Influencers 3.86×
Plan budgetsAPI

Channel marginal ROI

See where the next dollar of spend has the highest modeled return, with weekly and monthly trends.

Platform ROI Adjusted ROI
Meta prospecting 4.5× 3.1×
Linear TV 7.5× 10.1×Illustrative platform values
Explain performanceAPI

Incrementality-adjusted ROI

Compare platform-reported returns with Recast’s incrementality estimates to understand channel performance.

Test next Uncertainty
Prioritize experimentsAPI

Experimentation roadmap

Prioritize lift tests by comparing channel spend with uncertainty in modeled contribution.

Current Spend
Plan budgetsAPI

Channel saturation curves

Explore response curves to see where channels have room to scale and where returns are flattening.

ROI by channel Prior / Current
Explain performanceAPI

Period-over-period comparison

Compare channel spend, incremental revenue, and ROI across two periods for your next performance review.

Base $3.28M total
Explain performanceAPI

Revenue decomposition

Break revenue into baseline demand and each channel’s incremental contribution.

Channel mROI4.4×
Saturation curves8 channels
Backtests0.71% error
+ Spikes, Context, more→
Build dashboardsAPI

Whitelabeled Recast Insights

Build a dashboard in your own brand with Recast’s channel insights, response curves, and model diagnostics.

Prioritize experimentsMCP

Experimentation roadmap with MCP

Use Claude and Recast MCP to rank lift-test opportunities by spend and relative ROI uncertainty.

Explain performanceMCP

Lower-funnel decomposition

Trace branded search and retargeting demand back to baseline demand and the paid channels that drive it.

+0.57 −0.12 +0.06 Interval / Mean / Shift
Understand the modelMCP

Model deployment comparison

Compare two model deployments across channel returns, contribution, and baseline in an interactive deck.

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These examples use Recast’s marketing measurement models.
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