Substation Procurement & Telemetry Agent with Mastra AI and Retell AI
Riyadh Expo 2030 substation deployment demands rigorous supplier SLA tracking and real-time voice telemetry summaries. Build a TypeScript Mastra AI agent integrated with Retell AI to parse equipment lead-times and conduct automated vendor query voice calls, ensuring zero schedule drift.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop an agent using Mastra AI for TypeScript workflow state management combined with Retell AI voice call integration for vendor supply chain verification.
How work is evaluated
Evaluates Mastra AI agent's ability to trigger Retell AI voice synthesis calls and compute project delay impact based on call transcripts.
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.
Delay Calculation Match
Validates exact calculated delay days from vendor call payload.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Extraction Precision
Accuracy of extracted date and status fields. • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Construct Mastra AI agent workflows for high-voltage substation asset monitoring
Integrate Retell AI voice assistant webhooks to extract supplier commitment dates
Analyze potential procurement delays and compute critical path impacts automatically
Generate bilingual Arabic/English vendor status reporting dashboards
Reference links and supporting material
Synthetic procurement order logs for Riyadh Expo 2030 substations along with generated Retell AI call transcripts in Arabic and English.
Challenge setup
Evaluates Mastra AI agent's ability to trigger Retell AI voice synthesis calls and compute project delay impact based on call transcripts.
Challenge input
JSON payload containing vendor call audio transcription and target component ID.
Mastra AI
TypeScript agent workflow orchestration
Retell AI
Conversational voice call automation
Evaluated output
JSON payload detailing component status, updated delivery date, and total days delay impact.
- Validates exact calculated delay days from vendor call payload.
- Accuracy of extracted date and status fields. • target: 1 • range: 0-1
- Benchmark: GCC Infrastructure Procurement Benchmark
- Extraction Precision target: 1
- 1 public reference case
- 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
- Retell AI · Required
- Mastra AI · Optional
- n8n · Optional
- Mastra AI · Optional
Evaluation contract
- Delay Calculation Match · Weight 1
- Extraction Precision · Weight 1
Metrics
- Extraction Precision · Target 1
Benchmarks
- GCC Infrastructure Procurement Benchmark
- general
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON payload containing vendor call audio transcription and target component ID.
Output: JSON payload detailing component status, updated delivery date, and total days delay impact.
Execution harness: JavaScript
Evaluation tools
- Mastra AI · Agent Framework
- Retell AI · Voice Interface
Recipe freeze marker
No recipe freeze time is recorded.