Build Real-Time Catalog Sync Agents with AI SDK and Blaxel
Rapidly synchronizing inventory across decentralized ONDC seller nodes often results in race conditions and duplicate catalog updates. Build a serverless TypeScript routing workflow using Vercel AI SDK and Blaxel serverless agent runtimes to resolve catalog collisions instantly. Maintain less than 200ms end-to-end sync latency.
What you are building
The core problem, expected build, and operating context for this challenge.
Construct high-speed edge AI agents using TypeScript, Vercel AI SDK, and Blaxel to maintain real-time ONDC catalog synchronicity.
How work is evaluated
Measures catalog conflict resolution latency and accuracy under high update throughput.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
conflict_accuracy
Ensures latest timestamp record is preserved accurately
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
latency_ms
End-to-end execution latency in milliseconds • target: 200 • range: 0-500
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Implement stream generation and function calling using Vercel AI SDK in TypeScript
Deploy agent functions to low-latency serverless runtimes using Blaxel
Handle incoming high-frequency ONDC protocol catalog mutations without loss
Optimize agent context windows for continuous streaming response evaluation
Reference links and supporting material
Synthetic time-stamped inventory mutations mimicking high-volume quick-commerce sales events.
How this agent runs
Measures catalog conflict resolution latency and accuracy under high update throughput.
Challenge input
JSON object with conflicting stock records
AI SDK
Provides structured tool outputs and streaming interfaces for JS runtime.
Blaxel
Executes low-latency serverless agents at edge nodes.
Evaluated output
JSON object with resolved master stock record
- Ensures latest timestamp record is preserved accurately
- End-to-end execution latency in milliseconds • target: 200 • range: 0-500
- Benchmark: Serverless Agent Sync Benchmark
- Latency Ms target: 200
- 1 public reference case
- JavaScript execution harness
- javascript sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Blaxel · Required
- Vercel AI SDK · Optional
- Zed · Optional
- Vercel AI SDK · Optional
Evaluation contract
- conflict_accuracy · Weight 1
- latency_ms · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.