Token Metrics ACTION
Get Technology Grades Historical
Get historical Technology Grade data for a token, including activity score, security score, repository score, collaboration score, and DeFi scanner score over time. See the documentation
- Action
- Read only
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Token Metrics account once, then configure and run Get Technology Grades Historical from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "token_metrics-get-technology-grades-historical",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
token_metrics: { authProvisionId: "apn_xxxxxxx" },
tokenId: ["Token IDs"],
tokenName: ["Token Names"],
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "token_metrics-get-technology-grades-historical",
"configured_props": {
"token_metrics": { "authProvisionId": "apn_xxxxxxx" },
"tokenId": ["Token IDs"],
"tokenName": ["Token Names"]
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "token_metrics",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "token_metrics-get-technology-grades-historical",
arguments: {
tokenId: ["Token IDs"],
tokenName: ["Token Names"],
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
tokenId Token IDs | string[] | Select one or more Token IDs to filter results. Example: 3375,3306 Optional |
tokenName Token Names | string[] | Crypto Asset Names (e.g., Bitcoin, Ethereum) to filter results. Select token names. Optional |
symbol Token Symbols | string[] | Select one or more token symbols to filter results. Example: BTC,ETH Optional |
slug Token Slugs | string[] | Comma separated token slugs. Example: bitcoin,ethereum Optional |
startDate Start Date | string | Start Date accepts date as a string - YYYY-MM-DD format. Example: 2025-07-01 Optional |
endDate End Date | string | End Date accepts date as a string - YYYY-MM-DD format. Example: 2025-07-05 Optional |
limit Limit | integer | Limit the number of items in response. Defaults to 50 Optional |
page Page | integer | Enables pagination and data retrieval control by skipping a specified number of items before fetching data Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- token_metrics-get-technology-grades-historical
- Version
- 0.1.1
- App
- Token Metrics
- Authentication
- API key
- Read-only
- Yes
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗