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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.

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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

Challenge datasets

Public datasets, plus the private datasets you have access to.

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.

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

Evaluation checks
  • Ensures output parses through Zod CorpPass schema without errors.
  • Percentage of correctly extracted UEN and registration fields. • target: 0.98 • range: 0-1
Configured evaluation evidence
  • Benchmark: DocExtractBench
  • Extraction Accuracy target: 0.98
  • 1 public reference case
Configured runtime
  • JavaScript execution harness
  • javascript sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

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

Metrics

  • extraction_accuracy · Target 0.98

Benchmarks

  • DocExtractBench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. 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.

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