Your AI should know your users.
Connect your users’ data sources. Harny builds the context layer so every AI response feels personal, not generic. No plumbing required.
How it works
Three steps to contextual AI
1
Connect your data
Link the sources your users already use.
2
Context builds automatically
Harny extracts and organizes what matters. No code.
3
Your AI just knows
Every response is personalized. Users feel understood.
For developers
Integrate in minutes
curl -X POST https://api.harny.ai/v1/context/assemble \
-H "Authorization: Bearer fsk_..." \
-H "Content-Type: application/json" \
-d '{"query": "what did the user order last week?"}'
import requests
r = requests.post(
"https://api.harny.ai/v1/context/assemble",
headers={"Authorization": "Bearer fsk_..."},
json={"query": "what did the user order?"},
)
# Typed Python / TypeScript SDKs coming soon
REST API
curl -X POST https://api.harny.ai/v1/context/assemble \
-H "Authorization: Bearer fsk_..." \
-H "Content-Type: application/json" \
-d '{"query": "what did the user order last week?"}'
Python SDK
import requests
r = requests.post(
"https://api.harny.ai/v1/context/assemble",
headers={"Authorization": "Bearer fsk_..."},
json={"query": "what did the user order?"},
)
# Typed Python / TypeScript SDKs coming soon
Pricing
Start free, scale when ready
Your data stays yours -- delete anytime
App-scoped isolation -- users never leak across apps
Your keys, your control -- rotate anytime