Data & APIs
Prediction-market directory
New York Compute Kalshi Tools
Explore the product, inspect its sources and compare the evidence. Company contributions and retained historical observations stay clearly dated.
VK-ffffff5c67e1c7ba · Not assessed · First-party product research available
Data & APIs
What New York Compute Kalshi Tools does
TypeScript monorepo with a 14-tool Kalshi MCP server, agent skills, WebSocket streaming, order placement, a market-maker bot and NWS weather fair-value pricing.
Historical catalogue statement · Snapshot: . Source snapshot (opens in a new tab)
- Historical category
- Data & APIs
- Platforms named in product context
- Kalshi[1]
- Historical pricing
- Free
Product details and sources
Research checked:
MCP tools
The source describes a Model Context Protocol interface for agent or assistant tools.[1]
Command line tools
The product describes a command line interface.[1]
Documentation ↗ (opens in a new tab)[1]Pricing ↗ (opens in a new tab)[1]Source repository ↗ (opens in a new tab)[1]
“AI tools for Kalshi prediction markets — MCP server, CLI, and more.”[1]
Public page content was obtained during the dated check. Reachability does not establish continuing service availability. Product descriptions reflect public source statements. Classification and summaries are by Vultax; capabilities have not been tested as part of this listing.
Research sources, dates and retained evidence (1)
[1]Homepage (opens in a new tab)
https://github.com/newyorkcompute/kalshi
Collected:
Retained page digest
SHA-256 c758322d6652827c8b28266a326da238a5f74584456f176adf08672b51af5014
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Explore related profiles
Shared category or platform context · unpaid order
Historical product profile and catalogue sources
Historical product profile
Catalogue snapshot: · Catalogue's own check date:
TypeScript monorepo with a 14-tool Kalshi MCP server, agent skills, WebSocket streaming, order placement, a market-maker bot and NWS weather fair-value pricing.
- Name in the historical catalogue
- New York Compute Kalshi Tools
- Reported category
- Data & APIs
- Reported venues
- Kalshi
- Historical pricing statement
- Free
- Execution claim
- Source says it executes trades
- Open-source claim
- Source says yes
- Backer statement
- Not stated
- Historical status statement
- live
Source status note: Repo pushed 2026-08-24; parent site newyorkcompute.xyz is in private beta and does not mention the Kalshi package.
Repository links reported by the catalogue:
https://github.com/newyorkcompute/kalshi (opens in a new tab)
These are the catalogue contributors' dated statements, including their qualifications. They do not establish present availability, total cost, legal ownership or licensing. Read the exact source snapshot (opens in a new tab).
Additional references listed by the catalogue
Linked technical evidence
- newyorkcompute/kalshi
This record is the source repository. This link does not prove ownership, installation or a customer relationship.
Source date: · Association source (opens in a new tab)
Profile history and sources
Source dates and collection dates are distinct. The catalogue snapshots retain what the source reported; repeated identical snapshots are not presented as product changes. Company contributions and claim decisions enter the history only after publication.
Collected:
Homepage researched
Product research source; retained body SHA-256 c758322d6652827c8b28266a326da238a5f74584456f176adf08672b51af5014. Collection is not an assessment or product launch date.
Source date:
Package prepared:
Historical catalogue snapshot
Source verification date: 2026-08-27. Free.
Source date:
Package prepared:
Historical catalogue snapshot
Source verification date: 2026-08-27. Free.
Record evidence and export
Catalogue dataset SHA-256: 81e91f65ba7ff67a205fa6ff367bce66cd74934c25d200996572a34b02054506
The digest identifies the retained source bytes. A link may now serve a different page; a digest alone does not provide access to the retained evidence.
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Historical descriptions and catalogue claims: Kairos contributors, CC BY 4.0. Vultax adds source matching, presentation and factual comparisons. Attribution, licences and coverage.