u/dark-epiphany

Disclosure upfront: I built and run this (Pipeworx). It's free, no signup, no key.

If you use ChatGPT or Claude for research, you've probably noticed they're bad at prediction markets — stale prices, made-up odds, no idea what a market's resolution criteria actually say. I built a set of tools that fix that by giving the model live market data:

- Search + live prices — current Yes/No across any Polymarket event

- Resolution criteria text — so the model quotes what "Yes" actually means before giving you odds (a surprising amount of bad analysis comes from not reading the criteria)

- Price history — odds over time for any market, good for "when did this move and why"

- Orderbook depth — actual tradable size at each level, not just the midpoint

- Top markets by volume — where money is going this week

- Kalshi side-by-side — same event priced on both venues, for spotting spreads

It works with anything that speaks MCP (Claude, ChatGPT, Cursor, etc.) — you add one URL and ask in plain English: "using pipeworx, what's the orderbook on the June Fed market", "using pipeworx, what does the rate-cut market actually resolve on", "using pipeworx, which World Cup markets moved most this week".

The prediction-market tools are part of a larger gateway — the same endpoint gives the model 3,400+ live-data tools across 750+ sources: SEC EDGAR, FRED, BLS, Census, news, weather, sports. Which matters here because a lot of markets resolve against exactly that data — you can ask "what's the market pricing for the next CPI print, and what does the actual BLS trend look like" in one conversation and get both sides live.

What I'm actually here for: what's missing? If you trade and there's a data question you wish you could just ask — whale flows, category screens, cross-venue spreads, whatever — tell me and there's a decent chance I can ship it. Not selling anything; the free tier covers everything above.

Happy to put setup instructions in a comment if anyone wants them.

Disclosure upfront: I built and run this (Pipeworx). It's free, no signup, no key.

If you use ChatGPT or Claude for research, you've probably noticed they're bad at prediction markets — stale prices, made-up odds, no idea what a market's resolution criteria actually say. I built a set of tools that fix that by giving the model live market data:

- Search + live prices — current Yes/No across any Polymarket event

- Resolution criteria text — so the model quotes what "Yes" actually means before giving you odds (a surprising amount of bad analysis comes from not reading the criteria)

- Price history — odds over time for any market, good for "when did this move and why"

- Orderbook depth — actual tradable size at each level, not just the midpoint

- Top markets by volume — where money is going this week

- Kalshi side-by-side — same event priced on both venues, for spotting spreads

It works with anything that speaks MCP (Claude, ChatGPT, Cursor, etc.) — you add one URL and ask in plain English: "using pipeworx, what's the orderbook on the June Fed market", "using pipeworx, what does the rate-cut market actually resolve on", "using pipeworx, which World Cup markets moved most this week".

The prediction-market tools are part of a larger gateway — the same endpoint gives the model 3,400+ live-data tools across 750+ sources: SEC EDGAR, FRED, BLS, Census, news, weather, sports. Which matters here because a lot of markets resolve against exactly that data — you can ask "what's the market pricing for the next CPI print, and what does the actual BLS trend look like" in one conversation and get both sides live.

What I'm actually here for: what's missing? If you trade and there's a data question you wish you could just ask — whale flows, category screens, cross-venue spreads, whatever — tell me and there's a decent chance I can ship it. Not selling anything; the free tier covers everything above.

Happy to put setup instructions in a comment if anyone wants them.

edit: fixed example prompts to force tool usage. otherwise, AIs tend to default to web search

For folks running agents with MCP — most servers I've used implement tool calling and that's it. Just shipped a gateway (https://gateway.pipeworx.io/mcp) that implements the full MCP spec:

• 1,007 tools across 295 data sources (SEC, FDA, FRED, Census, EPA, ATTOM, ClinicalTrials, RxNorm, USPTO)
• 15 Resource templates for citable URIs (pipeworx://edgar/company/{cik}/filings, etc.)
• 12 Prompt playbooks (research_public_company, drug_safety_profile, …)
• 5 meta-tools (ask_pipeworx, resolve_entity, compare_entities, discover_tools, memory)
• Every tool ships inputSchema examples + outputSchema
• Errors include _meta.examples and _meta.alternatives for self-correcting retries
• 50 calls/day free, no auth needed

Concrete demo: compare_entities({type:"drug", values:["ozempic","mounjaro"]}) returns adverse events + approvals + trials side-by-side in one call. 8 calls collapsed to one.

Full write-up: https://pipeworx.io/blog/full-mcp-protocol

Would love feedback on the protocol design — especially what other meta-tools or resource templates you'd want.

Disclosure: I started Pipeworx