Server data from the Official MCP Registry
Size-aware exit cost, depeg risk & liquidity fragility for a Base token (x402, testnet).
About
Size-aware exit cost, depeg risk & liquidity fragility for a Base token (x402, testnet).
Remote endpoints: streamable-http: https://agentdata-liquidity-exit-cost.onrender.com/mcp/
Security Report
Valid MCP server (1 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-phenicea-agentdata-liquidity-exit-cost": {
"url": "https://agentdata-liquidity-exit-cost.onrender.com/mcp/"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
AgentData — Executable Liquidity (endpoint #1)
A pay-per-call data endpoint for AI agents: size-aware exit cost, depeg risk, and liquidity fragility for a token on Base. Not raw prices — computed, normalized, decision-grade intelligence an agent needs before it acts. Settled in USDC via x402 (Phase 2). Sourced on-chain, so the derived data is cleanly redistributable.
Strategy, values, and roadmap live in
CLAUDE.md. Decisions are logged indecisions/DECISION_LOG.mdanddecisions/adr/.
What it answers
"If I try to exit this position right now, what does it actually cost me, how much can I move before slippage blows past X bps, and how fragile is that liquidity?"
Three priced tiers (single source of truth in agentdata/api/pricing.py):
| Tier | Contents | Mainnet price |
|---|---|---|
| quote | best-route exit cost for one size | $0.008 |
| risk | exit cost + fragility (+ depeg for pegged assets) — default | $0.02 |
| deep | risk + multi-size exit-cost curve + max-size-before-cost ladder | $0.04 |
Testnet forces every price to $0 (the 402 flow is still exercised end-to-end).
Layout
src/agentdata/
config.py # env-driven; NETWORK_MODE testnet|mainnet (testnet default)
compute/ # the value-add: pure, deterministic, unit-tested math
amm.py # constant-product + Solidly stable curve, exit cost
routing.py # cheapest-venue selection
depeg.py # depeg deviation / dispersion / score
fragility.py # depth + concentration + convexity -> fragility score
tiers.py # quote / risk / deep orchestration
chain/ # on-chain Base reads (Aerodrome / Uniswap), web3 lazy
provider.py # FixturePoolProvider (default) + factory
onchain.py # OnChainPoolProvider (env-gated, no guessed addresses)
api/ # FastAPI JSON layer + pricing + stable schema
monitoring/ # uptime, latency p50/p95, error rate, calls per tier
tests/ # unittest (stdlib for compute; fastapi for api)
Run it (local, no funds, no network)
pip install -e . # or: pip install fastapi pydantic 'uvicorn[standard]'
uvicorn agentdata.api.app:app --reload
# then:
curl 'http://127.0.0.1:8000/v1/liquidity/exit-cost?token=WETH&size=10&tier=risk'
curl 'http://127.0.0.1:8000/pricing'
curl 'http://127.0.0.1:8000/metrics'
Defaults: NETWORK_MODE=testnet, POOL_SOURCE=fixture (deterministic demo pools
WETH, THIN, USDX). See .env.example.
Test
# compute core needs no dependencies:
PYTHONPATH=src python -m unittest discover -s tests
Status
- Phase 1 (local endpoint): done. compute + chain seam + API + monitoring, 42 tests green.
- Phase 2 (x402 testnet): next. Payment middleware in front of the API, free testnet facilitator on Base Sepolia. No real USDC; mainnet is an escalated human decision (CLAUDE.md §0/§14).
- On-chain mode requires a verified pool registry before use (ADR-001) — the code refuses to run on guessed contract addresses rather than fake data.
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