Automate Business-Government Transactions with Vercel AI SDK & Novita AI
Enterprise registration workflows often slow down due to manual document extraction across municipal registries. Build an AI SDK processing pipeline powered by Novita AI inference to extract corporate entity attributes, validate CorpPass credentials, and execute automated filings with 98% accuracy on real-world document samples.
What you are building
Build an automated business document validation pipeline using Vercel AI SDK and Novita AI fast inference for CorpPass transactions.
How work is evaluated
Evaluates schema extraction accuracy and CorpPass transaction payload validation.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
zod_schema_pass
Ensures output parses through Zod CorpPass schema without errors.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
extraction_accuracy
Percentage of correctly extracted UEN and registration fields. • target: 0.98 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Master Vercel AI SDK `generateObject` and `streamObject` for structured enterprise data
Integrate Novita AI high-throughput API endpoints as model providers
Automate CorpPass payload validation for B2G (Business-to-Government) transactions
Implement robust fallback strategies for unreadable corporate registry documents
Resources
Synthetic dataset of 30 unstructured company registration filings and ACRA extracts.
Challenge setup
Evaluates schema extraction accuracy and CorpPass transaction payload validation.
Challenge input
JSON containing unformatted company registration text
AI SDK
Vercel AI SDK provides powerful generateObject and streaming tools in TypeScript.
Novita AI
Provides fast, scalable inference runtime for continuous document processing.
Evaluated output
JSON validated against Zod CorpPass schema
- Ensures output parses through Zod CorpPass schema without errors.
- Percentage of correctly extracted UEN and registration fields. • target: 0.98 • range: 0-1
- Benchmark: DocExtractBench
- Extraction Accuracy target: 0.98
- 1 public reference case
- JavaScript execution harness
- javascript sandbox (unavailable on Versalist)
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- Novita AI · Required
- Vercel AI SDK · Optional
- Relicx · Optional
- Vercel AI SDK · Optional
Evaluation contract
- zod_schema_pass · Weight 1
- extraction_accuracy · Weight 1
Metrics
- extraction_accuracy · Target 0.98
Benchmarks
- DocExtractBench
- general
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON containing unformatted company registration text
Output: JSON validated against Zod CorpPass schema
Execution harness: JavaScript
Evaluation tools
- AI SDK · Agent Framework
- Novita AI · Inference Provider
Recipe freeze marker
No recipe freeze time is recorded.