VANTA PROTOCOL — Whitepaper

AI Automation Layer Production Agents Security First

VANTA is a protocol for deploying production-grade AI agents that operate directly against business data and workflows. It provides a secure API surface, modular agents, and verifiable outputs designed to deliver measurable outcomes— from outreach to analytics— without brittle manual glue.

Problem

Businesses are adopting AI, but most implementations stall at prototypes:

Fragmented toolchains across files, apps, and SaaS make orchestration unreliable.
“Chat-in-a-box” demos don’t translate to measurable operational outcomes.
Security & governance gaps slow down adoption for real data and actions.

⚠️

What’s missing: a production-minded agent layer that is secure, composable, and built for outcomes, not just conversations.

Vision & Mission

Vision

To redefine how businesses operate by bridging artificial intelligence and operational efficiency. VANTA envisions a world where organizations no longer rely on repetitive manual workflows— instead, core processes think, adapt, and evolve autonomously.

Mission

Deliver a secure, modular, and scalable protocol that enables seamless deployment of custom AI agents— designed to automate real-world business functions and produce measurable outcomes.

Architecture

Core Tenets

Security-by-design · Modular agents · Deterministic interfaces · Observability & audit

Runtime

HTTP/JSON API gateway, agent planner, tool adapters, data connectors, output renderers (CSV/JSON/HTML)

Model Layer

Model-agnostic; integrates OpenAI and others via provider adapters

Layered Overview

API Gateway — Auth, rate limits, schema validation.
Upload Service — File intake for context (CSV, PDF, etc.).
Agent Planner — Task decomposition, tool selection, and execution guards.
Connectors — Sheets, web fetchers, and custom business systems.
Output Renderers — Tables/CSV for data agents; summaries for knowledge agents.
Observability — Structured logs, traces, redaction hooks.

🧩

Composable by default: Agents are small, swappable units bound by contracts (inputs/outputs), enabling safe iteration.

Agents & Connectors

Sheets Agent — Generates structured tables with column specs and sample CSV.
Generic Agent — Research/summarize/plan with citations and task logs.
Custom Tools — Domain-specific actions (e.g., CRM ops, enrichment, email drafting).

Connectors

Google Sheets/Docs, web ingestion, file uploads; extensible via adapter interface.

Outputs

CSV, JSON, HTML snippets, or API callbacks.

Security & Privacy

Access Control — API keys/allowlists; per-agent policies.
Data Isolation — Input redaction and scoped temp storage for uploads.
Auditability — Structured logs with request IDs, model/version pins.
Integrity — Nonce + TTL on signed actions to mitigate replay.

Providers: model calls route via pluggable adapters; secrets are stored server-side.

Tokenomics

Ticker

$VANTA

Supply

1,000,000,000 (fixed)

Tax

0 / 0 (buy / sell)

Network

Solana

Launch Path

Pump.fun → Raydium

No additional allocations or vesting are specified in this document.

Roadmap

Phase I — Genesis Core: Token launch on Pump.fun; brand & community; website + early AI demo.
Phase II — AI Agent Deployment: Release operational agent modules; integrate data ingestion pipelines.
Phase III — Secure Data Flow: Access control & private agent execution; usage-based AI compute layer.
Phase IV — Expansion & Ecosystem: Partner integrations with Solana AI builders; launch VANTA Labs (open developer framework).

API Overview

Health

GET /health
200 OK → {"ok": true, "service": "vanta", "ts": 1730700000}

Upload

POST /api/upload
Content-Type: multipart/form-data

Response:
200 OK → {"meta":{"filename":"report.csv","size":12345}}

Sheets Agent

POST /api/agent/sheets
Content-Type: application/json

{
  "prompt": "Crypto top 200 market caps from CoinGecko with 24h change"
}

Response:
200 OK →
{
  "id": "tsk_8f2a1c",
  "result": {
    "title": "Crypto Market Caps (Top 200)",
    "columns": [
      {"name":"Rank","type":"int","description":"1..200"},
      {"name":"Symbol","type":"string"},
      {"name":"Market Cap","type":"usd"},
      {"name":"24h Change","type":"percent"}
    ],
    "sample_csv": "Rank,Symbol,Market Cap,24h Change\n1,BTC,1,234,567,890,+0.56%\n..."
  }
}

Generic Agent

POST /api/agent/generic
Content-Type: application/json

{"prompt":"Summarize Solana validator client diversity in 5 bullets"}

Response:
200 OK → {"id":"tsk_c1d9e7","result":{"answer":"• ... (5 bullets)"}}

🔐

Security note: Use per-environment API keys; rotate periodically; enforce IP allowlists on the gateway.

Risks & Limitations

Provider drift: Model behavior can change with vendor updates; pin versions and monitor outputs.
Data quality: Garbage in, garbage out— set validation and fallback flows.
Integration surface: Third-party rate limits and API changes require adapters to be resilient.