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Challenge

LangChain Secondary Market Block Deal Regulatory Compliance Checker

Large institutional equity block sales require strict automated checks against insider trading window closures and lock-in covenants. Build an enterprise compliance inspection flow using LangChain tools and structured parser validators.

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Challenge brief

What you are building

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

Implement an institutional equity block deal compliance agent using LangChain agents.

Delivery guide

How work is evaluated

Evaluation

Evaluates SEBI compliance check output accuracy for block deals.

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

compliance_status_check

Checks clearance boolean status.

Binary check

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

Dimension 2

compliance_precision

Accuracy of regulatory rule matching • target: 1 • 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

  • Implement LangChain agents with custom compliance verification tools

  • Verify share transfer quantities against SEBI block deal limits

  • Generate structured disclosure filings automatically

Resources and assets

Reference links and supporting material

Dataset notes

Block deal transaction records and regulatory window schedules.

Challenge setup

Evaluates SEBI compliance check output accuracy for block deals.

Challenge input

JSON transaction details

LangChain

Mandatory framework requirement

Evaluated output

JSON compliance clearance

Evaluation checks
  • Checks clearance boolean status.
  • Accuracy of regulatory rule matching • target: 1 • range: 0-1
Configured evaluation evidence
  • Benchmark: SEBI-Compliance-Bench
  • Compliance Precision target: 1
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python 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
  • Langchain · Required
  • LangChain · Optional
  • Cekura · Optional
Orchestration
  • Langchain · Required
  • LangChain · Optional

Evaluation contract

  • compliance_status_check · Weight 1
  • compliance_precision · Weight 1

Metrics

  • compliance_precision · Target 1

Benchmarks

  • SEBI-Compliance-Bench
  • security

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON transaction details

    Output: JSON compliance clearance

    Execution harness: Python

Evaluation tools

  • LangChain · Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about LangChain Secondary Market Block Deal Regulatory Compliance Checker