Seam AI
Seam AI (legal entity Talkmore Inc.) is an AI-native account-based marketing (ABM) platform that uses AI agents to score accounts against an ICP, monitor first- and third-party buying signals, prospect and enrich contacts, and execute multi-channel outbound plays into Salesforce, HubSpot, Outreach, Salesloft, Marketo, LinkedIn Ads and the customer data warehouse. Backed by Bessemer Venture Partners, the company has been acquired and is merging its product into Clarify as "Clarify Signals"; the getseam.ai marketing site now serves an acquisition notice. The developer surface remains live at docs.getseam.ai, which publishes an OpenAPI 3.1.0 contract for the Seam AI Enrichment API, an llms.txt index, an anonymous Model Context Protocol server, an A2A agent card, and a provider-authored Agent Skill. The API host named in that spec (enricher.getseam.ai) no longer resolves in DNS.
Seam AI publishes 1 API on the APIs.io network: Completions API. Tagged areas include Company, Ai Ml, Account Based Marketing, Sales Intelligence, and Marketing.
Seam AI’s developer surface includes documentation, getting-started guide, support, engineering blog, pricing, signup flow, authentication, and 19 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Seam AI Completions API
The Completions API from Seam AI — 1 operation(s) for completions.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Seam AI
Seam AI runs a remote, anonymous Model Context Protocol server on its documentation host. It is a documentation-search server (the Mintlify docs MCP surface), not a server over ...
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Seam Ai Rate Limits
RATE LIMITSSecurity Posture 2
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 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 2
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 2
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.