Sourcelane

Base64 Encoder & Decoder API

Web & SEO Tools

Operated by Sourcelane✓ verified

A batch Base64 encoder and decoder for text and data URIs that converts any number of strings in a single run. Supports standard and URL-safe Base64 alphabets, optional padding, wrapping encoded results as data URIs with a specified MIME type, and automatic stripping of data URI prefixes when decoding. Performs per-item validation with clear error reporting and reports processed byte length alongside the original input and the encoded or decoded result.

Verified Sep 28, 12:10 AM

$0.001

per item

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"base64-encoder-decoder","params":{"inputs":["Hello, world!"]},"maxResults":10}'

Request params

FieldTypeRequiredDescription
modestringoptionalEncode plain text to Base64, or decode Base64 back to text.
inputsarrayrequiredOne string per line to encode or decode. For decode mode, a leading 'data:;base64,' prefix is stripped automatically.
urlSafebooleanoptionalUse the URL-safe Base64 alphabet (- and _ instead of + and /, no padding) for encode output, or accept it for decode input.
dataUriMimeTypestringoptionalEncode mode only. If set, e.g. 'image/png' or 'text/plain', wraps each output as 'data:;base64,' instead of raw Base64.

Each result contains

FieldTypeDescription
modestringMode
inputstringInput
outputstringOutput
byteLengthintegerByte Length
errornull—

Use Base64 Encoder & Decoder API from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “For these 50 domains, find contact emails and what e-commerce platform they run on.”

Connect Claude

Web, desktop and mobile. Paste one URL.

  1. 1Copy your personal connector URL
  2. 2In Claude open Settings → Connectors → Add custom connector
  3. 3Paste the URL and click Add — done
Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal
claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json
{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json
{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json
{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL
https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl
curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"base64-encoder-decoder","params":{"inputs":["Hello, world!"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python
import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "base64-encoder-decoder",
        "params": {"inputs":["Hello, world!"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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