Challenge

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.

Workflow AutomationHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Build an automated business document validation pipeline using Vercel AI SDK and Novita AI fast inference for CorpPass transactions.

Delivery guide

How work is evaluated

Evaluation

Evaluates schema extraction accuracy and CorpPass transaction payload validation.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

zod_schema_pass

Ensures output parses through Zod CorpPass schema without errors.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

extraction_accuracy

Percentage of correctly extracted UEN and registration fields. • target: 0.98 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • 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 and assets

Reference links and supporting material

Dataset notes

Synthetic dataset of 30 unstructured company registration filings and ACRA extracts.

How this agent runs

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

Checks for
  • Ensures output parses through Zod CorpPass schema without errors.
  • Percentage of correctly extracted UEN and registration fields. • target: 0.98 • range: 0-1
Proof of success
  • Benchmark: DocExtractBench
  • Extraction Accuracy target: 0.98
  • 1 public reference case
Runtime evidence
  • JavaScript execution harness
  • javascript sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Novita AI · Required
  • Vercel AI SDK · Optional
  • Relicx · Optional
Orchestration
  • Vercel AI SDK · Optional

Evaluation contract

  • zod_schema_pass · Weight 1
  • extraction_accuracy · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Automate Business-Government Transactions with Vercel AI SDK & Novita AI