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Langbot

Data and simulation layer for prediction markets on Kalshi and Polymarket

Votes
0
DR (Ahrefs)
0 no change since last check

Ahrefs Domain Rating reported 4 Nov 2026, restated 3 Nov 2026.

Access order-book history, outcomes, rules and live context for every market on Kalshi and Polymarket, with a simulator using real fees for backtesting trading

Overview

Screenshot of the Langbot homepage
A look at langbot.ai

Langbot provides data and simulation infrastructure for prediction markets. It offers order-book history, market outcomes and rules, and synchronized context (speech transcripts, official text, data releases) for every market on Kalshi and Polymarket. The platform includes a simulator that lets traders backtest strategies using the venue's real fees and timing before trading live. Users can replay market history, simulate with their own strategies, then run live trades using their own exchange keys. Langbot never trades for users; it provides evidence through timestamped facts with signed receipts.

Feature summary

  • Order-book history with outcomes and rules for every market on Kalshi and Polymarket
  • Live context synchronized on one clock: speech, official text and data releases
  • Simulator with venue's real fees and timing for backtesting
  • Full REST, WebSocket and SSE access with signed webhooks
  • Python and TypeScript SDKs and CLI for programmatic access
  • MCP server with phrase and market subscription tools
  • Fair-value and live probability models for markets
  • Signed receipts and provenance reports for evidence
  • Paper trading mode on live record before switching to real exchange keys
  • Timestamped facts for resolved market outcomes with speaker attribution

Pricing

Pricing model: Freemium

Free ($0/month) with 60-second delay on live data, 60 API requests/minute, 1 concurrent stream, 5 subscriptions, 20 sim runs/month; Builder ($49/month) with 10-second delay, 600 requests/minute, 5 streams, 25 subscriptions, 100 sim runs/month; Standard ($199/month) with 2-second delay, 3,000 request

Langbot metrics

Reported for langbot.ai: Ahrefs Domain Rating and Majestic link figures, with the movement since the prior report.

Domain Rating
0
no change since last check
Trust Flow
0
no change since last check
Citation Flow
0
no change since last check
Referring domains
0
no change since last check
External backlinks
0
no change since last check

Ahrefs Domain Rating reported 4 Nov 2026, restated 3 Nov 2026. Majestic reported 3 Nov 2026, restated 3 Nov 2026. Link figures sourced from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Langbot domain summary

Show the domain summary

Read from the public RDAP record on 3 Nov 2026, 00:50 UTC.

Domain age
1 year
Registered
Expires
Registrar
NameCheap, Inc.
DNSSEC
Not signed

Detailed domain report: langbot.ai

Langbot launch ledger

What we have measured for Langbot since it went live on Fynora Launch on 3 November 2026.

Domain Rating (Ahrefs)
0 no change since launch
0 at launch (3 Nov 2026), 0 on 4 Nov 2026
Trust Flow (Majestic)
0
First measured 3 Nov 2026
Referring domains (Majestic)
0
First measured 3 Nov 2026

Day 1 since launch. Next receipt: day 30, 3 Dec 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.

Biggest gains on Fynora Launch

Q&A

Which markets does Langbot cover?
Every market on Kalshi and Polymarket across categories including sports, elections, politics, economics, financials, crypto, weather and entertainment. Each market includes its outcome, rules as written, and a public page. Price history is backfilled from the venues, and live order-book recording for every open market is rolling out. Where a market settles on words, such as earnings-call mentions, speeches, debates and hearings, Langbot also records the event and attaches each phrase to the markets it touches.
How does Langbot know whether a hit counts?
It reads the market's own rules. For Kalshi earnings markets, it counts words said by company representatives and never an analyst. For count strikes like Green Apron (3+ times), it requires that many counting mentions. Each hit carries the speaker's identity, mention count, and a verdict of counts, doesn't count, or unclear with the reason given.
Does Langbot settle markets?
No. The venue settles every market under its own rules. Langbot's verdict on a hit is a reading of those rules, not a settlement, and it never predicts outcomes or recommends trades. It provides timestamped facts with signed receipts that resolvers, counterparties or audits can check against the venue's own rules. Users decide what to do and trade under their own exchange keys.
How fast is it compared to the public webcast?
On 13 October 2026, measured on the dial-in, Langbot led the public webcast by 5.9 seconds on the Goldman Sachs call and 10.2 seconds on the Citigroup call, across 3,596 aligned phrases. On live streams, the time from a spoken word to its fact is measured continuously and published by the feed. Langbot does not claim to beat the market; on the mentions that count, the price often moves before or level with the fastest line.
How does Langbot find the source for an event?
For each event, Langbot looks for the fastest line it is allowed to hear: the dial-in for an earnings call, the committee or venue stream for a hearing, or the carrier that will air it. Nine carriers are watched for liveness every two minutes: the White House, the Fed, C-SPAN, ABC, CBS, NBC, CNBC, Bloomberg and Sky. An event still awaiting a line is listed as Line pending until one is attached.

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More on this profile

Langbot has a free listing. The owner can unlock the full profile with a paid launch for $5:

  • Founder story (locked)
  • Milestones (locked)
  • Demo video (locked)
  • Dofollow website link (locked)

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