Your agents can't read the internet.
Vesper can.
Tell Vesper what you need - web pages, research papers, APIs, repos. It fetches, cleans, and delivers structured data your agent can actually use. No scrapers to maintain, no pipelines to babysit.
// Script executed via MCP integration in Cursor
// Goal: Import, deduplicate, and vectorize raw HuggingFace dumps.
Automated Evaluation
Analyze multimodal quality, normalize ragged JSON schemas, and drop corrupted formats before your ingest breaks.
Multi-Source Fusion
Merge OpenML, Kaggle, S3, or HackerNews based on semantic exact/fuzzy heuristics without writing custom boilerplate.
MCP / Claude Native
The entire engine talks natively via the Model Context Protocol. Drop it into Cursor or Claude Desktop and let the AI find its own data.
Agent-Ready Formats
Export to Arrow, Parquet, or JSONL instantly. Optimized specifically for fast embedding generation and token-efficient RAG reading.
Research & RAG
Collect papers, code, docs. Clean, dedup, export for retrieval agents.
Analytics & BI
S3, APIs, files → structured tables for analysis agents with zero manual extraction.
Compliance & Audit
Quality gates, provenance, telemetry for regulated dataset workflows.
Programmable Control
Call the Vesper API directly from your agent.
Point it at any source, define what to do with the data, and get structured results back.
"source": "https://arxiv.org/search/?query=reinforcement+learning",
"strategy": ["clean", "dedup", "structure"],
"webhook_url": "https://agents.acme.com/ingest"
}
Pricing
Simple plans for builders, teams, and enterprises running agentic data workflows.
- 500 API requests / month
- 25 prepare runs / month
- Public connectors only
- Local lineage + local status
- Unlimited requests + prepare runs
- All connectors and advanced export
- Web observability + lineage dashboard
- Basic drift/staleness alerts
- SSO/SAML + RBAC
- Private ingest / VPC options
- Long retention + policy controls
- SLA + dedicated onboarding