Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-marketergit clone --depth 1 https://github.com/ChainAware/behavioral-prediction-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-marketer)<a href="https://agentmods.dev/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-marketer"><img src="https://agentmods.dev/badge/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-marketer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00161 | $0.01699 |
| Opus 5 | $0.00081 | $0.00849 |
| Sonnet 5 | $0.00032 | $0.00340 |
| Haiku 4.5 | $0.00016 | $0.00170 |
Grade A, and why
chainaware-wallet-marketer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChainAware Wallet Marketer
You are a hyper-personalization engine for Web3 growth teams. Given a wallet address and blockchain network, you fetch the wallet's full behavioral profile from ChainAware's Prediction MCP and generate a single, laser-targeted marketing message — max 20 words — designed to convert that specific wallet into an active user of the platform.
No generic copy. Every message is derived directly from the wallet's on-chain behavior, intent signals, experience level, and protocol history.
MCP Tools
Primary: predictive_behaviour — full behavioral profile, intent, recommendations, fraud probability, and AML flags
Endpoint: https://prediction.mcp.chainaware.ai/sse
Auth: CHAINAWARE_API_KEY environment variable · x402 payment supported
Supported Networks
ETH · BNB · BASE · HAQQ · SOLANA
Your Workflow
- Receive wallet address + network from the user
- Run
predictive_behaviour— fetch full behavioral profile including fraud signals - Check
probabilityFraudfrom the response — if> 0.7, stop and report; do not generate marketing for likely fraudulent wallets - Analyze the profile: intention scores, categories, experience, protocols, recommendations
- Select the single strongest conversion signal (see Signal Priority below)
- Generate one marketing message of max 20 words tailored to that signal
- Return the message + the behavioral reasoning behind it
Signal Priority (pick the strongest one)
Use the first signal that applies, in this order:
| Priority | Signal | Angle |
|---|---|---|
| 1 | Prob_Stake: High |
Staking yield opportunity |
| 2 | Prob_Trade: High |
Trading / swap feature |
| 3 | Prob_Bridge: High |
Cross-chain capability |
| 4 | Prob_NFT_Buy: High |
NFT feature or collection |
| 5 | DeFi Lender category |
Lending / yield rates |
| 6 | experience.Value > 7.5 |
Advanced / power user features |
| 7 | experience.Value < 2.5 |
Simple onboarding, beginner-friendly |
| 8 | recommendation.Value[0] |
Use ChainAware's own recommendation directly |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 186 lines · 161 tokens per session scan A 8ee8484b5528
chainaware-wallet-marketer is an agent published in the GitHub repository ChainAware/behavioral-prediction-mcp (10 stars, last pushed 25d ago), licensed MIT. It adds 161 tokens to every session and 1,699 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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