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APIANT

apiant.com

  • Free plan
  • Web
  • API
  • Self-hosted
7.8 Club score Visit apiant.com

What APIANT is

APIANT is a hybrid platform for building, deploying, and monitoring integrations across APIs. An AI agent can assemble integrations, test them with real calls, deploy them, and monitor their runs. Workflows support multiple steps, branching, mappings, transformations, scheduled triggers, and branch-coverage tests, with data transformation and real-time synchronization. APIANT can create custom connectors using OAuth, API keys, webhooks, dynamic field discovery, throttling, and retries. The platform provides run histories, alerts, webhook replay, rollback, and workflow orchestration. Its overview lists more than 500 prebuilt connectors, while the APIANT.AI directory lists 1,996 apps. Supported payloads include JSON, XML, CSV, EDI, HL7, and binary formats. Deployment options include SaaS, dedicated customer cloud, and on-premise. Paid tiers use dedicated servers with separate development and production environments. Plans range from a free account to Sandbox at $99 a month, Pro at $499 a month, Scale at $1,500 a month, and Enterprise from $3,500/mo.

Who it suits

APIANT is aimed at SaaS companies, system integrators, and enterprises that need connected workflows. Browser and remote MCP access suit users who want nothing installed locally.

Good to know, and what to watch

  • AI agent builds, tests, deploys, and monitors integrations
  • More than 500 prebuilt connectors
  • Supports branching, mappings, transformations, and scheduled triggers
  • Run histories, alerts, replay, and rollback included
  • Free account with unlimited automation steps
  • Paid plans start at $99 a month
  • Enterprise pricing starts from $3,500/mo
  • Connector counts differ between overview and app directory
  • Dedicated infrastructure applies to paid tiers

Free

Free

Sandbox

$99/mo

Pro

$499/mo

Scale

$1,500/mo

From $99/mo

The verdict

APIANT covers connector creation, workflow logic, testing, deployment, and monitoring in one hybrid platform. Its plan structure ranges from a free account to dedicated Enterprise infrastructure and support.

What the maker publishes

Automation
Automations support multiple steps, branching, mappings, transformations, scheduled triggers, and branch coverage tests. source
Client access
APIANT.AI works through a browser assistant or a remote MCP client, and its site says there is nothing to install. source
Connector count
500 source
Custom connectors
The platform can build connectors for APIs using OAuth, API keys, webhooks, dynamic field discovery, throttling, and retries. source
Data formats
The platform overview lists JSON, XML, CSV, EDI, HL7, and binary payloads as supported formats. source
Data transformation
Yes source
Dedicated infrastructure
APIANT says paid tiers run on dedicated servers, with separate development and production environments and no shared tenancy. source
Deployment
The platform overview lists SaaS, dedicated customer cloud, and on-premise deployment options. source
Deployment model
hybrid source
Free plan
No source
Integrations
The APIANT.AI app directory lists 1,996 apps, and the platform overview separately describes 500+ prebuilt connectors. source
Intended users
APIANT identifies SaaS companies, system integrators, and enterprises as audiences for its platform. source
Monitoring
The platform provides run histories, monitoring, alerts, webhook replay, and rollback features. source
Privacy
APIANT says it does not use customer data or MCP tool-call data to train AI or machine-learning models. source
Purpose
APIANT lets an AI agent build, test, deploy, and monitor integrations across APIs. source
Real-time sync
Yes source
Security
APIANT's DPA describes TLS encryption in transit, encryption at rest, need-to-know access controls, authenticated access, monitoring, and breach notification within 72 hours. source
Paid from
99 source
Support
The platform overview says Enterprise includes priority support, migration help, and training. source
Testing
APIANT says it tests success paths, failure paths, and retries with real calls before an integration runs. source
Workflow orchestration
Yes source

Checked against the maker's pages on 9 Oct 2026.