Product

How Jentic Works

From API assessment to production deployment in four simple steps.

Product Overview

PLATFORM

Jentic OneSelf-hosted, open-source control plane between your agents and any APIAPI DirectoryBrowse 10,000+ APIs ready for AI agent integrationAPI ScorecardAssess your APIs for AI-readiness with automated scoringAgentic SandboxSafely simulate AI agents with your production APIsJenticSign in to the Jentic web app

CAPABILITIES

IntegrationConnect AI agents to your existing systemsWorkflowsDiscover and capture successful agent workflowsGovernanceDefine, observe, and enforce AI policies

TOOLS

Arazzo UIVisualize Arazzo workflows as interactive documentationArazzo EditorBuild and edit multi-step API workflows visually
Pricing
Developers

GET STARTED

DocumentationGuides and API referenceQuickstartGet up and running in minutes

COMMUNITY

GitHubOpen source projects and examples
Resources
BlogLatest articles and insightsPress & MediaBrand assets and press contactOpen StandardsBuilt on open specs. Never locked in.NewsletterAPIs, AI agents, mixed with architecture and strategy.
Company
About UsOur mission and teamCareersJoin our teamContactGet in touch
Install Jentic OneBook a Demo
How Jentic WorksJentic OneAPI DirectoryAPI ScorecardAgentic SandboxJenticIntegrationWorkflowsGovernanceArazzo UIArazzo Editor
Pricing
DocumentationQuickstartGitHub
BlogPress & MediaOpen StandardsNewsletter
About UsCareersContact
Request a demoInstall Jentic One
Jentic
For Enterprises
  • Product Overview
  • Agentic Sandbox
  • Book a Demo
For Developers
  • Jentic One
  • Documentation
  • GitHub
Company
  • About Jentic
  • Careers
  • Contact Us
ISO/IEC 27001:2022 certification badge issued by Prescient Security

Information Security Management System

Certified to ISO/IEC 27001:2022 by Prescient Security

Terms & Conditions•Privacy Policy•
© 2026 Jentic. All rights reserved.
APIs / AI/ML / Airweave API
Airweave API logo

Airweave API

★ Only Publicly Available OpenAPI DocumentAI/MLEmbeddings SearchapiKey27 EndpointsREST

For Agents

Index data from SaaS sources into searchable collections, then run instant, classic, or agentic search to retrieve relevant content for an AI agent. Streaming agentic search is supported.

Use for: I need to search across all my connected SaaS data, Run an agentic search and stream the response, Create a new collection that indexes my Notion workspace, List all source connections and their last sync status

Not supported: Does not host LLMs, generate embeddings as a standalone service, or run web crawls of arbitrary sites — use for SaaS-source ingestion and search only.

Jentic publishes the only available OpenAPI specification for Airweave API, keeping it validated and agent-ready. Airweave is a search and data-management platform that lets developers build retrieval over heterogeneous SaaS sources (Notion, Slack, Google Drive, Stripe, and more). The 27-endpoint API exposes collections (search-ready indexes), source connections (sync configurations), webhook ingestion, and three search modes — instant keyword search, classic semantic search, and agentic search with optional streaming. Authentication uses an x-api-key header.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Airweave API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Airweave API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Airweave API.

Create and manage collections that index data from connected SaaS sources

Configure source connections to sync from Notion, Slack, Google Drive, Stripe, and other platforms

Run instant keyword search across a collection for low-latency lookups

Run classic semantic search for embedding-based retrieval

Run agentic search that plans multi-step retrieval and optionally streams the response

Trigger and cancel sync jobs and inspect job history per source connection

Receive webhook events for real-time ingestion of upstream changes

Use Cases

Patterns agents use Airweave API for, with concrete tasks.

★ Unified RAG over SaaS data

Build a retrieval-augmented application that searches across Notion, Slack, Google Drive, and other tools without writing per-source connectors. Airweave handles ingestion, embedding, and indexing into collections, and exposes search via instant, classic, and agentic modes.

Create a collection 'company-knowledge', attach a Notion source connection, and run a classic search for 'Q4 roadmap commitments'

Agentic enterprise search

Use the agentic search endpoint to let an AI agent plan a multi-step retrieval — for example, decomposing 'find the latest customer feedback on the new pricing page' into sub-queries across docs and chat. The streaming variant returns intermediate reasoning so a UI can render progress.

POST to /collections/{readable_id}/search/agentic/stream with the query 'recent customer complaints about pricing' and consume the stream

Sync orchestration and observability

Manage source connections programmatically — create, update, run, and cancel sync jobs, and list job history to surface failures. Useful when an agent operates a knowledge platform and must respond to ingestion incidents.

List sync jobs for source-connection {id}, identify the most recent failed job, and trigger a new run via POST /source-connections/{id}/run

AI agent integration via Jentic

Wire Airweave into a Jentic-powered agent so it can search company knowledge by intent. The agent loads the Airweave operation schema at runtime, the Jentic vault holds the API key, and the agent calls instant, classic, or agentic search depending on the latency and depth required.

Search Jentic for 'agentic search across SaaS data', load the matching Airweave operation, and execute against the user's collection

Key Endpoints

27 endpoints — jentic publishes the only available openapi specification for airweave api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/collections

Create a new collection

POST

/collections/{readable_id}/search/instant

Run instant keyword search

POST

/collections/{readable_id}/search/classic

Run classic semantic search

POST

/collections/{readable_id}/search/agentic

Run agentic multi-step search

POST

/collections/{readable_id}/search/agentic/stream

Stream agentic search results

POST

/source-connections

Create a source connection

POST

/source-connections/{source_connection_id}/run

Trigger a sync job

POST

/collections

Create a new collection

POST

/collections/{readable_id}/search/instant

Run instant keyword search

POST

/collections/{readable_id}/search/classic

Run classic semantic search

POST

/collections/{readable_id}/search/agentic

Run agentic multi-step search

POST

/collections/{readable_id}/search/agentic/stream

Stream agentic search results

POST

/source-connections

Create a source connection

POST

/source-connections/{source_connection_id}/run

Trigger a sync job

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential management

Credential isolation

Airweave x-api-key tokens are stored encrypted in the Jentic vault. Agents receive scoped execution capabilities and never see the raw key.

Intent-based discovery

Intent-based discovery

Agents search by intent (e.g., 'search across my SaaS data') and Jentic returns the matching Airweave operation with its input schema, so the agent calls the correct search mode without browsing docs.

Time to first call

Time to first call

Direct Airweave integration: 1-2 days to wire connectors, sync triggers, and search modes. Through Jentic: under an hour.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Pinecone

→

Pure vector database — you bring the connectors and embedding pipeline.

Choose Pinecone when you want a raw vector store and full control over ingestion. Choose Airweave when you want prebuilt SaaS connectors and managed sync.

Complementary

Notion API

→

Connect Notion as an Airweave source to make pages searchable.

Pair Notion with Airweave to index a workspace, then let the agent search across pages without managing Notion's API directly.

Complementary

OpenAI API

→

Generate the answer or summary from Airweave's retrieved context.

Pair OpenAI with Airweave for retrieval-then-generation flows: Airweave returns relevant chunks, OpenAI composes the response.

FAQs

Specific to using Airweave API through Jentic.

Why is there no official OpenAPI spec for Airweave API?

Airweave does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Airweave API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Airweave API use?

Airweave uses an API key in the x-api-key header. Through Jentic, the API key is stored in the encrypted Jentic vault and injected at execution time, so the agent never sees the raw key.

What is the difference between instant, classic, and agentic search?

Instant search at /collections/{id}/search/instant is keyword-based and optimised for low latency. Classic search at /search/classic runs semantic embedding retrieval. Agentic search at /search/agentic plans multi-step queries and can be streamed via /search/agentic/stream for live UIs.

Can I run agentic search through Jentic?

Yes. Use the Jentic search query 'agentic search across collected data'. Jentic returns the POST /collections/{readable_id}/search/agentic operation with its input schema so the agent can pass the query and collection id directly.

How do I sync a new data source into Airweave?

Create a source connection via POST /source-connections with the source short name and credentials, then trigger a sync via POST /source-connections/{id}/run. Track progress with GET /source-connections/{id}/jobs.

Are webhooks supported for real-time ingestion?

Yes. The /webhooks resource exposes message listing endpoints used to inspect inbound events. Configure upstream sources to post to your Airweave webhook URL so changes propagate without waiting for a scheduled sync.

GET STARTED

Start building with Airweave API

Explore with Jentic
View OpenAPI Document