Slug Generation

What it grounds

Give AI agents slug creation through the same real-data layer, converting any text into a clean URL-safe slug per call.

Ways to ground with it

Normalize before reasoning

Have an agent run text through Slug Generation to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.

A capability, on the same rails

Expose slug generation to your agents as a tool over the same MCP endpoint and key as every grounding source — no separate integration.

Traceable transforms

Because the transform runs through slugify, the agent's output can point back to the exact operation that produced it.

Connect over MCP

Point your agent framework at the VerveContext endpoint. Every enabled source — this one included — becomes a tool the model can call. No per-source plumbing.

context.json

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp",
      "headers": { "x-api-key": "vc_live_••••" }
    }
  }
}

# “slugify” is now a tool your agent can call

What it returns

Each call returns structured fields your agent can read.

original
slug
separator
lowercase
length

Slug Generation, answered

How to ground an agent in it over MCP.

How do I give my agent Slug Generation?

Enable it on VerveContext and point your agent framework at the VerveContext MCP endpoint. Slug Generation then appears to the model as a tool named slugify, which it calls when a task needs it — no per-source plumbing.

Which agents and frameworks can use it?

Any MCP client — Claude, Cursor, LangChain, and custom agents all speak the Model Context Protocol. Slug Generation is exposed as a standard tool, so nothing source-specific is required.

Can the agent cite Slug Generation?

Slug Generation is a capability rather than a factual source, so it isn't something to "cite" — but it runs on the same real-data layer, over the same MCP endpoint and key as every grounding source.

How many credits does a Slug Generation call cost?

Each call costs 1 credit. Scoped keys let you grant an agent only the sources it should reach, and usage logs show exactly what was pulled to ground each answer.

How current is the data?

Slug Generation is served live from APIVerve's production data engine and pulled at the moment the agent calls it, so answers reflect the world now rather than the model's training cutoff.

Where does the data come from, and what shows on my bill?

VerveContext runs on APIVerve, our production data engine; Slug Generation is one of 300+ sources on the same key. Invoices and card statements show APIVERVE.

Ground alongside

Browse all sources

Normalize before reasoning

A capability, on the same rails

Traceable transforms

Slug Generation, answered

Ground your agents in Slug Generation. Connect over MCP, enable the source, and every answer carries its receipts.

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