Ground Truth lets AI agents verify claims, check live data, compare competitors, inspect APIs, and validate assumptions before acting.
Ground Truth helps agents check the kind of facts that are most likely to drift, break, or get invented under pressure.
Pull the live pricing page before your agent quotes a number like "Notion costs $8 per user per month."
check_pricingSearch npm or PyPI before your agent says there is no alternative in a category.
estimate_marketConfirm the URL exists, responds, and looks real before recommending it to a user or team.
check_endpointCompare live package metadata instead of guessing which package is more active or widely used.
compare_competitorsTurn assumptions like "this category is still small" into pass/fail checks against live data.
test_hypothesisCheck public help, support, or policy pages before your agent repeats a claim as fact.
verify_claimTraining data does not tell you what changed this week. Ground Truth gives agents a last-mile check before they answer, recommend, or act.
Agents often repeat old prices long after a plan page changed. Live verification catches that drift.
A confident recommendation is not the same as a working API. Ground Truth checks the endpoint first.
Agents say "no competitors" or "most popular" without checking the current market. Registry data gives them a way to prove it.
Support plans, public terms, and help-center language change over time. Verification keeps answers tied to the live source.
Use Ground Truth when an answer should be checked before it leaves the model.
Before an agent says "Stripe has a free tier," it checks the live pricing page and returns what it found.
Before an agent says there is no alternative to Prisma for edge deployments, it searches the registry for real packages.
Before an agent recommends an endpoint in docs or support, it confirms the endpoint responds.
Before an agent says Vue has overtaken React, it compares live package metadata side by side.
Before an agent says the MCP ecosystem is still tiny, it runs a count-based hypothesis test.
Before an agent repeats a support entitlement, it checks the current public support page for evidence.
Start with a quick check. Upgrade when your agents need broader verification coverage and higher limits.
Best for basic endpoint checks and limited verification needs.
check_endpointBuilt for teams that want Ground Truth wired into an always-on AI workflow.
X-API-KeyUse Ground Truth directly over HTTP if you want verification in a script, backend, or agent loop.
curl callInitialize the MCP session, then verify a pricing claim against a live pricing page.
fetch exampleCompare package popularity from code.
MCP stands for Model Context Protocol. If you use Claude Desktop or Cursor, Ground Truth can plug in as a verification tool so your agent checks live data before it responds.
Add Ground Truth to ~/Library/Application Support/Claude/claude_desktop_config.json.
{
"mcpServers": {
"ground-truth": {
"url": "https://ground-truth-mcp.anishdasmail.workers.dev/mcp",
"headers": {
"X-API-Key": "gt_live_your_key_here"
}
}
}
}
Add Ground Truth to .cursor/mcp.json in your project or ~/.cursor/mcp.json globally.
{
"mcpServers": {
"ground-truth": {
"url": "https://ground-truth-mcp.anishdasmail.workers.dev/mcp",
"headers": {
"X-API-Key": "gt_live_your_key_here"
}
}
}
}
Ground Truth fits anywhere an AI agent needs a final check before sharing an answer or taking action.
Verify pricing claims, confirm whether a support policy applies, and check whether an API endpoint a customer asks about actually exists.
Test market assumptions, check whether a competitor exists, and compare package popularity before you lock in a direction.
Confirm support and policy language on live public pages before repeating it internally or externally.
Compare competitor pricing, count category players, and turn broad assumptions into structured live checks.