Back to Home

Monitory Whitepaper

v1.0

Last updated: February 1, 2026 • Status: Draft (Public)

Disclaimer: This whitepaper is for informational purposes only and does not constitute financial, investment, legal, or tax advice. Monitory does not execute trades, snipe launches, front-run transactions, or provide guaranteed profit strategies. It is an analytics, monitoring, and reporting platform. Always conduct your own research.

Abstract

Monitory is a Solana-first marketplace and runtime for specialized "agents" that transform noisy on-chain activity into actionable monitoring, explanations, and shareable reports. Users can run agents on-demand ("Use"), or deploy a persistent instance ("Deploy") that runs automatically on schedules or triggers, generates reports, and delivers alerts through integrations.

Monitory is built to improve decision-quality and operational reliability for on-chain participants through transparent methodology, reproducible outputs, and safety-by-design.

1. Problem

On-chain ecosystems produce enormous volumes of real-time signals: token launches, liquidity events, whale transfers, contract interactions, and shifting holder distributions. For traders and teams, the bottleneck is not access to data—it is:

  • Interpretation: turning raw data into useful narratives and risk assessments
  • Speed: identifying meaningful events quickly (without constant manual checking)
  • Trust: verifying what is happening and why, without biased or fabricated summaries
  • Repeatability: running the same workflow consistently across many assets and time windows
  • Operational burden: stitching dashboards, alerts, and manual notes together

Existing tooling is fragmented: users bounce between scanners, charts, wallets, social feeds, and spreadsheets. Most "AI tools" are generic chats without reliable context, tool access, or repeatable workflows.

2. Solution Overview

Monitory provides:

  • Agent Marketplace — curated agents (risk, monitoring, portfolio explanations, narratives, incident reports)
  • Agent Runtime — multi-step tool-based execution that produces structured outputs and saved reports
  • Deployments — user-owned persistent configurations, watchlists, triggers, and integrations
  • Reports — timestamped, shareable, reproducible artifacts of an agent run
  • Safety Model — transparent disclaimers, source visibility, and strict guardrails against harmful automation

3. Core Concepts

3.1 Agent (Template)

An Agent is a defined workflow with:

  • Purpose (what it's for)
  • Input schema (required parameters)
  • Tools (data fetchers, analyzers, calculators)
  • Output formats (report templates, scoring rubrics, explanations)
  • Cost policy (credits/run or subscription eligibility)
  • Safety constraints (no manipulation, no execution, no prohibited behaviors)

3.2 Use (On-demand)

A one-off run: User selects agent → provides inputs → receives streaming output → optional report saved.

3.3 Deploy (Persistent Instance)

A user-owned agent instance configured with:

  • Watchlists (tokens, wallets)
  • Thresholds (alert sensitivity)
  • Schedules (daily summaries, hourly checks)
  • Integrations (Telegram, email, webhook)
  • Run history + report archive

3.4 Run

A Run is a single execution event with:

  • Inputs + configuration snapshot
  • Tool steps performed
  • Output + status
  • Associated report(s)

3.5 Report (Shareable Artifact)

A report is a signed/timestamped snapshot of an agent output including what inputs were used, what steps were performed, key findings + explanations, disclaimers, and an optional "sources" section. Reports improve trust and make agent outputs portable across communities.

4. Target Users & Use Cases

4.1 Traders & Analysts (Solana-first)

  • Launch triage: "Is this worth watching?"
  • Risk snapshot: distribution, liquidity behavior, suspicious patterns
  • Incident reporting: "What changed and why?"
  • Monitoring: alert me when a threshold is hit
  • Narrative tracking: what themes are accelerating

4.2 Teams & Communities

  • Monitoring their own token health
  • Transparency pages and regular reports
  • Community updates and incident explanations
  • Integrations into Discord/Telegram moderation flows

4.3 Builders & Agent Creators

  • Publish agents to a marketplace with monetization
  • Offer specialized analytics modules

5. Product Modules

5.1 Marketplace

  • Categories, tags, and featured collections
  • Agent detail pages: sample outputs, changelog, pricing, disclaimers
  • Ratings & usage metrics (optional, later phase)

5.2 Deployments & Triggers

Create deployment from an agent template, configure thresholds and notification channels. Automated execution includes scheduled (daily/weekly) and event-driven triggers.

5.3 Reports

  • Universal report viewer
  • Copy/share links
  • Report history per deployment
  • "What changed since last report" comparisons (later phase)

5.4 Integrations

Telegram alerts, Email digests, Webhooks for custom pipelines. All integrations are optional and permissioned.

6. Agent Execution Model

Monitory agents are designed as multi-step workflows:

  • Collector — fetches and normalizes relevant data
  • Analyzer — applies heuristics, scoring models, and anomaly checks
  • Narrator — produces human-readable explanations and structured sections
  • Reporter — saves and formats results into a shareable report

This architecture reduces hallucination risk by grounding outputs in tool results and deterministic checks. Monitory uses a tool-based agent pattern with explicit step limits to maintain predictability.

7. Safety, Trust & Guardrails

7.1 Safety-by-design

Monitory explicitly disallows:

  • Automated trading execution
  • Front-running / MEV exploitation
  • Sniping automation
  • Manipulation strategies
  • Any instructions that facilitate fraud or wrongdoing

7.2 Transparency

Reports include timestamp, inputs and configuration snapshot, key metrics summary, and "known limitations" section.

7.3 Disclaimers

All pages that present analysis display: "Not financial advice. For informational purposes only. Outputs may be incomplete or inaccurate."

8. Technical Architecture

8.1 Frontend

  • Next.js App Router
  • Component system (shadcn/ui)
  • Server + client components where appropriate
  • Report pages optimized for sharing

8.2 Backend (Vercel-native)

  • API routes for agent runs (streaming)
  • Database for deployments, runs, reports, subscriptions
  • Secure cron endpoints for scheduled triggers

8.4 Authentication

  • Wallet-based auth (Phantom/Solflare) for Solana-native users
  • Optional Google OAuth for broader accessibility

9. Monetization

9.1 Credits (pay-per-run)

Each agent has creditsPerRun. Simple for casual users.

9.2 Subscriptions (bundles)

Higher-tier plans unlock:

  • More deployments
  • Higher run frequency
  • More alerts/integrations

9.3 Creator Revenue Share (Marketplace)

Verified creators publish agents with revenue share per run/subscription usage. Incentives aligned with quality and retention.

10. Roadmap

Phase 1 — MVP (Now)

  • Marketplace + agent pages
  • Run agent (streaming)
  • Save reports + share links
  • Deployments (settings + manual run)
  • Basic subscriptions/credits

Phase 2 — Automation

  • Triggers (scheduled)
  • Alerts to Telegram/email/webhooks
  • Secure cron execution
  • Deployment run history + comparisons

Phase 3 — Creator Platform

  • Agent submission workflow
  • Review/verification
  • Versioning + changelog enforcement
  • Creator analytics dashboards

Phase 4 — Trust Layer

  • Source citations in reports
  • Reputation signals (agent quality metrics)
  • Audit logs for deployments and triggers

Contact

Website: monitory.app

Twitter/X: @Monitorycoin

Documentation: docs.monitory.app