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Challenge

EV Subsidy Telemetry Audit Agent with Mastra AI & Hugging Face

Clean energy manufacturers must verify telemetry records against government PLI incentive benchmarks to avoid audit penalties. Build an automated subsidy audit agent using Mastra AI and Hugging Face Inference API to validate EV telemetry logs with 99% regulatory compliance.

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Challenge brief

What you are building

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

Build an EV fleet telemetry auditing and PLI scheme compliance tool using Mastra AI framework and Hugging Face Inference API.

Delivery guide

How work is evaluated

Evaluation

Evaluates EV telemetry compliance verification accuracy against government PLI incentive criteria.

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

verify_incentive_cap

Verifies calculated incentive does not exceed regulatory ceiling

Binary check

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

Dimension 2

audit_accuracy

Accuracy of PLI eligibility determinations against official guidelines • target: 0.99 • 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

  • Configure Mastra AI agent workflows with embedded memory and vector tools

  • Utilize Hugging Face Inference API for domain-adapted tabular anomaly detection models

  • Audit IoT battery telemetry records for PLI DVA (Domestic Value Addition) compliance

  • Generate regulatory compliance audit reports

Resources and assets

Reference links and supporting material

Dataset notes

EV vehicle telemetry logs including BMS temperatures, GPS mileage histories, and local component bill of materials (BOM).

Challenge setup

Evaluates EV telemetry compliance verification accuracy against government PLI incentive criteria.

Challenge input

JSON vehicle telemetry packet and component origin list

Mastra AI

TypeScript agent framework with built-in memory, tools, and workflows.

Hugging Face Inference API

Serverless API for executing domain-specific ML models.

Evaluated output

JSON containing eligibility_status, approved_incentive_inr, and audit_flags

Evaluation checks
  • Verifies calculated incentive does not exceed regulatory ceiling
  • Accuracy of PLI eligibility determinations against official guidelines • target: 0.99 • range: 0-1
Configured evaluation evidence
  • Benchmark: CleanTech PLI Subsidy Verification Benchmark
  • Audit Accuracy target: 0.99
  • 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
  • Mastra AI · Required
  • Hugging Face · Optional
  • Kubeflow · Optional
Orchestration
  • Mastra AI · Required

Evaluation contract

  • verify_incentive_cap · Weight 1
  • audit_accuracy · Weight 1

Metrics

  • audit_accuracy · Target 0.99

Benchmarks

  • CleanTech PLI Subsidy Verification Benchmark
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON vehicle telemetry packet and component origin list

    Output: JSON containing eligibility_status, approved_incentive_inr, and audit_flags

    Execution harness: JavaScript

Evaluation tools

  • Mastra AI · Agent Orchestration Framework
  • Hugging Face Inference API · Inference & Model Runtime

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about EV Subsidy Telemetry Audit Agent with Mastra AI & Hugging Face