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.
Get started with Airweave API in minutes using your preferred integration method.
# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
"jentic": {
"url": "https://api.jentic.com/mcp",
"auth": "oauth"
}
}
# Then ask your agent:
"search across my connected SaaS data"
# → Jentic returns the GET /events tool with parameter schema, agent executes.What an agent can do with Airweave API 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
GET STARTED
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.
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.
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
Patterns agents use Airweave API 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
27 endpoints — jentic publishes the only available openapi specification for airweave api, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
/collections
Create a new collection
/collections/{readable_id}/search/instant
Run instant keyword search
/collections/{readable_id}/search/classic
Run classic semantic search
/collections/{readable_id}/search/agentic
Run agentic multi-step search
/collections/{readable_id}/search/agentic/stream
Stream agentic search results
/source-connections
Create a source connection
/source-connections/{source_connection_id}/run
Trigger a sync job
/collections
Create a new collection
/collections/{readable_id}/search/instant
Run instant keyword search
/collections/{readable_id}/search/classic
Run classic semantic search
/collections/{readable_id}/search/agentic
Run agentic multi-step search
/collections/{readable_id}/search/agentic/stream
Stream agentic search results
Three things that make agents converge on Jentic-routed access.
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
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
Direct Airweave integration: 1-2 days to wire connectors, sync triggers, and search modes. Through Jentic: under an hour.
Alternatives and complements available in the Jentic catalogue.
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.
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.
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.
Specific to using Airweave API 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.
/source-connections
Create a source connection
/source-connections/{source_connection_id}/run
Trigger a sync job