with Geokeo and Anthropic (Claude)?
Convert address data into geographic coordinates. See the documentation
Convert geographic coordinates to address data. See the documentation
The Geokeo API offers geolocation services, enabling users to fetch location data based on IP addresses, perform geocoding, and reverse geocoding. With these capabilities, you can enhance applications by integrating dynamic location-based features, from auto-filling addresses to analyzing geographic data. In Pipedream, this API can be particularly powerful for automating workflows that depend on geographical information, such as customizing user experiences based on location, automating location-triggered alerts, or aggregating geographic data for analytics.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
geokeo: {
type: "app",
app: "geokeo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://geokeo.com/geocode/v1/search.php`,
params: {
"q": `Empire State Building`,
api: `${this.geokeo.$auth.api_key}`,
},
})
},
})
The Anthropic (Claude) API offers a conversational AI that can be leveraged for a variety of applications, ranging from answering questions to generating content or providing customer support. In Pipedream, you can create powerful workflows that utilize the capabilities of Claude to automate responses, analyze text, or enhance data with AI-generated insights. Pipedream's serverless platform simplifies integrating Claude into your processes with other apps and services for seamless automation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
anthropic: {
type: "app",
app: "anthropic",
}
},
async run({steps, $}) {
const data = {
"model": "claude-3-haiku-20240307",
"max_tokens": 300,
"messages": [
{"role": "user", "content": "Write me a haiku about Pipedream workflows."}
]
}
return await axios($, {
method: "post",
url: `https://api.anthropic.com/v1/messages`,
headers: {
"x-api-key": `${this.anthropic.$auth.api_key}`,
"anthropic-version": `2023-06-01`,
},
data,
})
},
})