INDIVIDUAL MCP TOOL

waste_report

Read the agent-integrity ledger: total spend, spend that produced nothing usable, the waste rate, and a breakdown by failure kind and by agent.

whysaid.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://api.whysaid.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for waste_report and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.whysaid]
url = "https://api.whysaid.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "whysaid": {
      "type": "http",
      "url": "https://api.whysaid.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: whysaid
Remote MCP URL: https://api.whysaid.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "whysaid": {
      "url": "https://api.whysaid.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "whysaid": {
      "type": "http",
      "url": "https://api.whysaid.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "whysaid",
  "transport": "streamable-http",
  "url": "https://api.whysaid.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

verify_source — Confirm a URL is reachable and actually says what it is claimed to say, BEFORE you spend a long context reading or acting on it.
check_provenance — Detect whether a piece of text was model-generated and whether this system has emitted something materially identical before.
verify_claim — Independently verify a claim against a real check — an HTTP fetch, a file, or a command — instead of taking an assertion on trust.
answer_share — Ask a live AI assistant a buyer question and report whether a given brand is named, at what position, and which competitors appear instead.
verify_answer — Check an entire AI answer: open every source it cited, say which are real, which are missing or invented, and which are merely paywalled.
report_waste — Record work your agent run spent money on and then threw away, and get back your waste rate — wasted spend as a share of total spend.
pricing — What each Whysaid verification costs and how to pay.