Antonym Data

What it grounds

Give enterprise agents antonym lookups through the same real-data layer, returning opposite-meaning words for any term on demand.

Ways to ground with it

Normalize before reasoning

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

A capability, on the same rails

Expose antonym data 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 antonym, 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_••••" }
    }
  }
}

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

What it returns

Each call returns structured fields your agent can read.

word
language
antonyms

Antonym Data, answered

How to ground an agent in it over MCP.

How do I give my agent Antonym Data?

Enable it on VerveContext and point your agent framework at the VerveContext MCP endpoint. Antonym Data then appears to the model as a tool named antonym, 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. Antonym Data is exposed as a standard tool, so nothing source-specific is required.

Can the agent cite Antonym Data?

Antonym Data 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 Antonym Data call cost?

Each call costs 10 credits. 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?

Antonym Data 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; Antonym Data 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

Antonym Data, answered

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

Scaling up?