Build a Pydantic AI VC Portfolio Liquidity Predictor
Venture capital firms tracking startup investment rounds require structured runway and liquidity analysis. Construct a Pydantic AI investment analyst agent that processes funding updates, calculates runway projections, and enforces explicit type constraints with 100% schema validation accuracy.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop a Pydantic AI investment analyst agent that evaluates funding round telemetry and projects venture portfolio runway.
How work is evaluated
Evaluates portfolio model accuracy and Pydantic output validation success.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
runway_math_check
Verifies accuracy of runway division math
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
schema_conformance
Validation rate against target Pydantic models • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Utilize Pydantic AI agent models to process investment round announcements
Calculate quarterly burn rates and post-money valuation metrics
Enforce strict numeric schemas for financial metric models
Output standardized portfolio vulnerability reports for investors
Reference links and supporting material
Synthetic venture capital funding round summaries and financial metrics.
How this agent runs
Evaluates portfolio model accuracy and Pydantic output validation success.
Challenge input
JSON funding event payload
Pydantic AI
Type-safe financial analysis framework
Evaluated output
Pydantic model JSON object with runway_months and status
- Verifies accuracy of runway division math
- Validation rate against target Pydantic models • target: 1 • range: 0-1
- Benchmark: Financial Modeling Agent Benchmark
- Schema Conformance target: 1
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Pydantic AI · Required
- RAI · Optional
- ZenML · Optional
- Pydantic AI · Required
Evaluation contract
- runway_math_check · Weight 1
- schema_conformance · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.