OneShot
OneShot (oneshot.ai) is an autonomous outbound sales prospecting platform that uses generative AI, machine learning, and reinforcement learning to automate the manual work of B2B prospecting. It sources ideal-customer-profile (ICP) leads from 35+ data providers, manages email and domain health, generates hyper-personalized messaging for email and LinkedIn, and can run fully autonomous 24/7 outreach that books qualified meetings. The product ships as a Chrome extension and a web application, and integrates natively with HubSpot, Salesforce, Apollo, Salesloft, and Outreach. Founded in London by Gautam Rishi (CEO) and Venki Pola (CTO), OneShot is backed by 42Cap, Seedcamp, and Addvia Ventures. Commercially it publishes three monthly tiers ($49/$99, $399 and $1,995), all sold through a "Book a Demo" motion with no self-serve checkout, and it operates a Vanta-hosted trust center at security.oneshot.ai alongside published GDPR and data-processing terms. This profile was surfaced as a Seedcamp portfolio company and enriched from OneShot's public surface. OneShot exposes NO public developer API: full contract discovery across www.oneshot.ai, the apex, app.oneshot.ai and every candidate api/docs/mcp subdomain found no OpenAPI, AsyncAPI, GraphQL SDL, MCP server or A2A agent card, and no developer portal or API reference exists. Its only first-party distributed package is an end-user Chrome extension.
OneShot is profiled on the APIs.io network. Tagged areas include Company, Sales, Sales Automation, Outbound, and Prospecting.
OneShot’s developer surface includes documentation, getting-started guide, engineering blog, pricing, signup flow, and 14 more developer resources.
Kin Score
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Oneshot Rate Limits
RATE LIMITSSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type