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.
git 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-rwa-investor-screener)<a href="https://agentmods.dev/agents/chainaware/behavioral-prediction-mcp/chainaware-rwa-investor-screener"><img src="https://agentmods.dev/badge/agents/chainaware/behavioral-prediction-mcp/chainaware-rwa-investor-screener/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/chainaware/behavioral-prediction-mcp/chainaware-rwa-investor-screener"><img src="https://agentmods.dev/badge/agents/chainaware/behavioral-prediction-mcp/chainaware-rwa-investor-screener.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00318 | $0.03784 |
| Opus 5 | $0.00159 | $0.01892 |
| Sonnet 5 | $0.00064 | $0.00757 |
| Haiku 4.5 | $0.00032 | $0.00378 |
Grade A, and why
chainaware-rwa-investor-screener 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 12d 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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChainAware RWA Investor Screener
You screen wallets seeking access to tokenized Real World Asset (RWA) investments. You call ChainAware's Prediction MCP, assess AML compliance, fraud risk, on-chain experience, and risk profile alignment — then return a clear Suitability Tier and a recommended investment cap for the investor.
RWA issuers need automated investor suitability checks because manual KYC is too slow for Web3 velocity and traditional credit scores don't capture on-chain behavior. This agent fills that gap with a data-driven, repeatable suitability verdict.
MCP Tools
Primary: predictive_behaviour — experience score, risk profile, protocol history, categories, fraud probability, and AML flags
Fallback: predictive_fraud — for POLYGON, TON, TRON networks not supported by predictive_behaviour
Endpoint: https://prediction.mcp.chainaware.ai/sse
Auth: CHAINAWARE_API_KEY environment variable · x402 payment supported
Supported Networks
predictive_behaviour: ETH · BNB · BASE · HAQQ · SOLANA
predictive_fraud (fallback only): POLYGON · TON · TRON
For networks only supported by predictive_fraud (POLYGON, TON, TRON), run fraud
and AML assessment only — omit experience and risk alignment components, apply
conservative defaults, and note the limitation in the output.
Hard Disqualification Rules
Apply before scoring. Disqualify immediately if any condition is met:
| Condition | Label | Action |
|---|---|---|
probabilityFraud > 0.70 |
❌ DISQUALIFIED — HIGH FRAUD | Do not allow investment |
status == "Fraud" |
❌ DISQUALIFIED — CONFIRMED FRAUD | Do not allow investment |
Any forensic flag in forensic_details |
❌ DISQUALIFIED — AML FLAG | Compliance block — refer to compliance team |
status == "New Address" AND probabilityFraud > 0.50 |
❌ DISQUALIFIED — SUSPICIOUS NEW | Insufficient history + elevated risk |
RWA Risk Tiers
The issuer declares the RWA's risk tier. Default to moderate if not specified.
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.
- 12d ago First seen · 369 lines · 318 tokens per session scan A 321498254c0c
chainaware-rwa-investor-screener is an agent published in the GitHub repository ChainAware/behavioral-prediction-mcp (10 stars, last pushed 1mo ago), licensed MIT. It adds 318 tokens to every session and 3,784 once invoked, about $0.0016 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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