Prediction Market Friction Tracker

Prediction-market fee/KYC/withdrawal data, venue recommendations, and a paid x402 change feed.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "prediction-market-friction-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "prediction-market-friction-tracker"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Prediction market friction tracker

Structured KYC, fee, and withdrawal data across 12 prediction-market venues, plus a change feed for when those terms move and a natural-language "which venue is best for X" recommendation tool. Built for AI agents that need to check execution friction before routing a trade — not for humans clicking around a dashboard.

Live now: https://prediction-friction-tracker-production.up.railway.app

For agents: three ways in

Plain HTTP — GET /friction/venues, GET /friction/venue/{slug}, GET /friction/changes?since=<ISO8601>. Full OpenAPI spec at /openapi.json, interactive docs at /docs, agent-readable summary at /llms.txt.
MCP — a streamable-HTTP MCP server mounted at /mcp/, exposing list_venues, get_venue, recommend_venue, and get_changes_info as tools. Point any MCP-compatible client at the /mcp/ URL directly.
x402 — /friction/changes (the time-sensitive change feed) is gated by the x402 protocol: unpaid requests get a real 402 with a payment challenge; pay $0.05 USDC on Base mainnet and retry to get the data. This is live, verified end-to-end with real money, not a demo — see api.py for the CDP-facilitator wiring.

Endpoints

Endpoint	Cost	What it returns
`GET /friction/venues`	Free	Current snapshot of every tracked venue. Optional `?confidence=verified\|stale\|unconfirmed` filter.
`GET /friction/venue/{slug}`	Free	One venue's current fee/KYC/withdrawal/API-access data, e.g. `/friction/venue/kalshi`.
`GET /friction/changes?since=<ISO8601>`	$0.05 USDC (x402)	Append-only log of every detected change since a timestamp — the time-sensitive product.

Every record carries a confidence field: verified (spot-checked or high-confidence extraction), stale (source was unreachable, showing a cached value), or unconfirmed (LLM extraction was ambiguous). Treat unconfirmed as a lead to verify against the venue directly, not a fact to trade on.

MCP tools

list_venues(confidence) — browse/filter the current snapshot.
get_venue(slug) — one venue's full data.
recommend_venue(query) — free-text "which venue is best for lowest fees on high-frequency trading" / "I don't want to do KYC" / "API access without a wallet" style questions, reasoned over the current dataset. Says so explicitly rather than guessing when a query depends on data this tracker doesn't have (liquidity, volume, spread, uptime).
get_changes_info() — describes the paid change feed (URL, price) without reimplementing it for free.

What's here

File	What it does
`schema.py`	The data model — one `VenueFriction` record per venue, plus the `VenueRecommendation` response shape
`venues.py`	The 12 tracked venues and their policy-page source URLs
`scrapers/base.py`	Fetches and cleans raw policy-page text (requests + Playwright fallback for JS-rendered pages)
`extract.py`	Sends raw page text to Claude, gets back a structured `VenueFriction` matching the schema
`recommend.py`	Natural-language venue recommendation — reasons over the current dataset via Claude, structured-output constrained to real venue slugs
`reference_check.py`	Cross-checks scraped fees against a third-party source (TradeBlock), flags divergences for human review
`storage.py`	SQLite: `current_state` table (latest snapshot) + `change_log` table (append-only, the paid product)
`diff.py`	Compares a fresh extraction to the stored one, writes a `ChangeEvent` for anything that moved
`run_pipeline.py`	Orchestrates fetch → extract → diff → store, for all 12 venues
`api.py`	FastAPI server — the HTTP endpoints above, x402 payment gating, MCP mount
`mcp_server.py`	The MCP tool definitions, mounted into `api.py` at `/mcp/`
`test_pipeline_logic.py`, `test_recommend_logic.py`	Pure-logic tests, no API key needed

Running it locally

Terminal

pip install -r requirements.txt
python test_pipeline_logic.py      # no API key needed, proves storage/diff logic
python test_recommend_logic.py     # no API key needed, proves recommendation logic
export ANTHROPIC_API_KEY=sk-ant-...
python run_pipeline.py             # real scrape -> extract -> store, all 12 venues
uvicorn api:app --reload           # boots the API on localhost:8000

Then in another terminal:

Terminal

curl http://localhost:8000/friction/venues
curl http://localhost:8000/friction/venue/kalshi
curl "http://localhost:8000/friction/changes?since=2020-01-01T00:00:00Z"

See CLAUDE.md for environment quirks, Claude API usage notes, and the data-quality/confidence model in more depth.

Informational only — not financial or legal advice. Verify directly with the venue before acting on any figure returned here.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Finance & Fintech View all alternatives

Reviews

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Frequently Asked Questions about Prediction Market Friction Tracker

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "prediction-market-friction-tracker": { "command": "npx", "args": ["-y", "Prediction Market Friction Tracker"] } }

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Technical Specs & Signals

CategoryFinance & Fintech

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

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Prediction Market Friction Tracker

Prediction-market fee/KYC/withdrawal data, venue recommendations, and a paid x402 change feed.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "prediction-market-friction-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "prediction-market-friction-tracker"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Prediction market friction tracker

Live now: https://prediction-friction-tracker-production.up.railway.app

For agents: three ways in

Plain HTTP — GET /friction/venues, GET /friction/venue/{slug}, GET /friction/changes?since=<ISO8601>. Full OpenAPI spec at /openapi.json, interactive docs at /docs, agent-readable summary at /llms.txt.
MCP — a streamable-HTTP MCP server mounted at /mcp/, exposing list_venues, get_venue, recommend_venue, and get_changes_info as tools. Point any MCP-compatible client at the /mcp/ URL directly.
x402 — /friction/changes (the time-sensitive change feed) is gated by the x402 protocol: unpaid requests get a real 402 with a payment challenge; pay $0.05 USDC on Base mainnet and retry to get the data. This is live, verified end-to-end with real money, not a demo — see api.py for the CDP-facilitator wiring.

Endpoints

Endpoint	Cost	What it returns
`GET /friction/venues`	Free	Current snapshot of every tracked venue. Optional `?confidence=verified\|stale\|unconfirmed` filter.
`GET /friction/venue/{slug}`	Free	One venue's current fee/KYC/withdrawal/API-access data, e.g. `/friction/venue/kalshi`.
`GET /friction/changes?since=<ISO8601>`	$0.05 USDC (x402)	Append-only log of every detected change since a timestamp — the time-sensitive product.

MCP tools

list_venues(confidence) — browse/filter the current snapshot.
get_venue(slug) — one venue's full data.
recommend_venue(query) — free-text "which venue is best for lowest fees on high-frequency trading" / "I don't want to do KYC" / "API access without a wallet" style questions, reasoned over the current dataset. Says so explicitly rather than guessing when a query depends on data this tracker doesn't have (liquidity, volume, spread, uptime).
get_changes_info() — describes the paid change feed (URL, price) without reimplementing it for free.

What's here

File	What it does
`schema.py`	The data model — one `VenueFriction` record per venue, plus the `VenueRecommendation` response shape
`venues.py`	The 12 tracked venues and their policy-page source URLs
`scrapers/base.py`	Fetches and cleans raw policy-page text (requests + Playwright fallback for JS-rendered pages)
`extract.py`	Sends raw page text to Claude, gets back a structured `VenueFriction` matching the schema
`recommend.py`	Natural-language venue recommendation — reasons over the current dataset via Claude, structured-output constrained to real venue slugs
`reference_check.py`	Cross-checks scraped fees against a third-party source (TradeBlock), flags divergences for human review
`storage.py`	SQLite: `current_state` table (latest snapshot) + `change_log` table (append-only, the paid product)
`diff.py`	Compares a fresh extraction to the stored one, writes a `ChangeEvent` for anything that moved
`run_pipeline.py`	Orchestrates fetch → extract → diff → store, for all 12 venues
`api.py`	FastAPI server — the HTTP endpoints above, x402 payment gating, MCP mount
`mcp_server.py`	The MCP tool definitions, mounted into `api.py` at `/mcp/`
`test_pipeline_logic.py`, `test_recommend_logic.py`	Pure-logic tests, no API key needed

Running it locally

Terminal

pip install -r requirements.txt
python test_pipeline_logic.py      # no API key needed, proves storage/diff logic
python test_recommend_logic.py     # no API key needed, proves recommendation logic
export ANTHROPIC_API_KEY=sk-ant-...
python run_pipeline.py             # real scrape -> extract -> store, all 12 venues
uvicorn api:app --reload           # boots the API on localhost:8000

Then in another terminal:

Terminal

curl http://localhost:8000/friction/venues
curl http://localhost:8000/friction/venue/kalshi
curl "http://localhost:8000/friction/changes?since=2020-01-01T00:00:00Z"

See CLAUDE.md for environment quirks, Claude API usage notes, and the data-quality/confidence model in more depth.

Informational only — not financial or legal advice. Verify directly with the venue before acting on any figure returned here.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Finance & Fintech View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Prediction Market Friction Tracker

AllMCPs Directory Badge

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Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

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HTML Embed

<a href="https://allmcps.com/mcp/prediction-market-friction-tracker"><img src="https://allmcps.com/api/badge/prediction-market-friction-tracker?style=directory" alt="Prediction Market Friction Tracker on AllMCPs" /></a>

Technical Specs & Signals

CategoryFinance & Fintech

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💰 Finance & Fintech →Best MCP servers for Finance & Fintech →Alternatives to Prediction Market Friction Tracker →Install in Claude Desktop Install in Cursor Install in VS Code