Build a Supplier Credential Document Expiry and Frictionless Package Monitor
Evaluate vendor compliance onboarding documents using Frictionless Data resource schemas. Monitor expiration horizons for liability policies, tax certificates, and operating licenses to assemble automated re-certification notifications.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate vendor compliance onboarding documents using Frictionless Data resource schemas. Monitor expiration horizons for liability policies, tax certificates, and operating licenses to assemble automated re-certification notifications.
Vendor Due Diligence Officer
Ingest supplier metadata and document package manifests defined as Frictionless Data Resource tables.
Validate document tables against schema constraints including license numbers, issuance dates, and expiration horizons.
Identify expired credentials and certificates approaching 30-day expiration thresholds across active suppliers.
Assemble structured supplier renewal tickets and warning packets specifying exact deficient document types.
A tabular status view highlighting expiring certificates with an automated notification draft preview drawer.
Fictional CSV supplier document ledgers validated via Frictionless Python using synthetic corporate tax and insurance records. Starter examples below are synthetic. They are not downloaded records.
Frictionless data validation Employs Frictionless Data Python validation routines, Table Schema specifications, and resource validation reports.
langgraph, frictionless, pydantic. LangGraph manages stateful multi-step cycles: schema validation, threshold calculation, and notice draft creation. Standard API-hosted model for crafting concise formal vendor notification texts based on structured validation errors.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Executes schema validation using frictionless-py without uncaught parsing exceptions on dirty input tables.
Correctly flags documents where expiry_date is within 30 days or in the past.
Generates structured renewal packets containing supplier contact ID, deficient certificate codes, and remediation deadlines.
```json [ { "input": { "supplier_id": "SUP-772", "documents": [ { "doc_type": "INSURANCE_LIABILITY", "doc_id": "INS-99", "expiry_date": "2024-01-15", "status": "active" }, { "doc_type": "TAX_CERTIFICATE", "doc_id": "TAX-12", "expiry_date": "2026-12-31", "status": "active" } ], "evaluation_date": "2024-02-01" }, "expected_output": { "supplier_id": "SUP-772", "overall_status": "NON_COMPLIANT_EXPIRED", "expired_documents": [ "INS-99" ], "expiring_soon": [], "action_ticket_generated": true } }, { "input": { "supplier_id": "SUP-880", "documents": [ { "doc_type": "ISO_9001", "doc_id": "ISO-01", "expiry_date": "2025-05-10", "status": "active" } ], "evaluation_date": "2024-02-01" }, "expected_output": { "supplier_id": "SUP-880", "overall_status": "COMPLIANT", "expired_documents": [], "expiring_soon": [], "action_ticket_generated": false } } ] ```
Performs administrative supplier document auditing without commercial vendor termination or autonomous account blocking. Use mock external writes. Require human review before any real deployment.
Participation guide
Performs administrative supplier document auditing without commercial vendor termination or autonomous account blocking. Use mock external writes and human review.
How work is evaluated
Executes schema validation using frictionless-py without uncaught parsing exceptions on dirty input tables. Correctly flags documents where expiry_date is within 30 days or in the past. Generates structured renewal packets containing supplier contact ID, deficient certificate codes, and remediation deadlines.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Ingest supplier metadata and document package manifests defined as Frictionless Data Resource tables. Validate document tables against schema constraints including license numbers, issuance dates, and expiration horizons. Identify expired credentials and certificates approaching 30-day expiration thresholds across active suppliers. Assemble structured supplier renewal tickets and warning packets specifying exact deficient document types.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Executes schema validation using frictionless-py without uncaught parsing exceptions on dirty input tables. Correctly flags documents where expiry_date is within 30 days or in the past. Generates structured renewal packets containing supplier contact ID, deficient certificate codes, and remediation deadlines.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
A tabular status view highlighting expiring certificates with an automated notification draft preview drawer.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Performs administrative supplier document auditing without commercial vendor termination or autonomous account blocking.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest supplier metadata and document package manifests defined as Frictionless Data Resource tables.
Validate document tables against schema constraints including license numbers, issuance dates, and expiration horizons.
Identify expired credentials and certificates approaching 30-day expiration thresholds across active suppliers.
Assemble structured supplier renewal tickets and warning packets specifying exact deficient document types.
Reference links and supporting material
Fictional CSV supplier document ledgers validated via Frictionless Python using synthetic corporate tax and insurance records. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
LangGraph
Runtime for stateful agent workflows.
Evaluated output
No output checks are configured.
- Ingest supplier metadata and document package manifests defined as Frictionless Data Resource tables. Valid...
- Executes schema validation using frictionless-py without uncaught parsing exceptions on dirty input tables....
- A tabular status view highlighting expiring certificates with an automated notification draft preview drawer.
- 2 public reference cases
- 2 configured tools
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
- LangGraph · Optional
- LangGraph · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.