Operated by Sourcelane✓ verified
A data-analysis connector for Instagram that identifies optimal posting times and maps posting behavior for any public account by sampling recent posts and Reels, bucketing timestamps into weekday×hour slots, and computing per-slot average engagement (likes + comments, plus Reel plays where available). Outputs include a day-by-hour posting heatmap in both account local time and UTC, an engagement heatmap, histograms of post volume by hour and by day, ranked best posting slots with average engagement metrics, the single most active day and hour, quiet hours (likely offline/sleep window), a weekday vs. weekend posting split, an estimated time zone inferred from the circadian dip with a confidence score (overrideable), and summary statistics for the sampled time range. Technical approach: time-series sampling of recent content, timestamp bucketing by weekday and hour, per-slot engagement averaging, and time-zone inference via the multi-hour low-activity window. Operates without login or cookies.
Verified Sep 28, 12:10 AM
$0.10
per report
Up to 10 per call. Only pay for results returned; failed calls are refunded.
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
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":"instagram-active-hours-analyzer","params":{"username":"natgeo","maxPosts":5},"maxResults":10}'Request params
| Field | Type | Required | Description |
|---|---|---|---|
username | string | required | Instagram username, with or without leading @. Profile URLs (https://www.instagram.com/username) are also accepted. |
maxPosts | integer | optional | How many recent posts and Reels to sample for the heatmap (1-500). More samples = a sharper pattern. Capped at 10 per call. |
timezoneOffset | number | optional | The account's UTC offset in hours, e.g. -5 for US Eastern, 1 for Central Europe, 5.5 for India. Leave blank to auto-detect the time zone from the account's quietest posting window. |
Each result contains
| Field | Type | Description |
|---|---|---|
username | string | Username |
platform | string | Platform |
postsAnalyzed | integer | Posts Analyzed |
timeRange | object | — |
timezone | object | — |
mostActiveDay | string | Most Active Day |
mostActiveHour | string | Most Active Hour |
quietHours | array | Quiet Hours |
weekdayShare | number | Weekday Share |
weekendShare | number | Weekend Share |
engagementMetric | string | Engagement Metric |
avgEngagementPerPost | integer | Avg Engagement Per Post |
bestTimesToPost | array | — |
topSlotsByPosts | array | — |
hourHistogram | array | Hour Histogram |
dayHistogram | array | Day Histogram |
avgEngagementByHour | array | — |
avgEngagementByDay | array | — |
dayNames | array | — |
heatmap | object | — |
heatmapUtc | object | — |
engagementHeatmap | object | — |
Pick your tool and connect in under a minute. Then just ask — for example: “Pull the last 20 posts from @natgeo and tell me which formats get the most engagement.”
Connect Claude
Web, desktop and mobile. Paste one URL.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"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"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://cool-puffin-608.convex.site/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"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
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://sourcelane-amber.vercel.app/openapi.jsonOne POST. Pass maxResults to cap cost.
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":"instagram-active-hours-analyzer","params":{"username":"natgeo","maxPosts":5},"maxResults":10}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
import requests
res = requests.post(
"https://cool-puffin-608.convex.site/v1/call",
headers={"Authorization": "Bearer sl_live_your_agent_key"},
json={
"listing": "instagram-active-hours-analyzer",
"params": {"username":"natgeo","maxPosts":5},
"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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