Word Pronunciation

What it grounds

Ground agents in dictionary-based ARPAbet pronunciations so phonetic answers come from a real lexicon instead of invented spellings.

Ways to ground with it

Normalize before reasoning

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

A capability, on the same rails

Expose word pronunciation 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 wordpronunciation, 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_••••" }
    }
  }
}

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

Facts your agent can cite

Each call returns structured fields your agent can read — and trace back to this source.

word
pronounciation

Word Pronunciation, answered

How to ground an agent in it over MCP.

How do I give my agent Word Pronunciation?

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

Can the agent cite Word Pronunciation?

Yes. Word Pronunciation is verifiable factual grounding — every value the agent pulls can carry Word Pronunciation as its source, so a person (or another system) can trace where the fact came from.

How many credits does a Word Pronunciation 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?

Word Pronunciation 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; Word Pronunciation 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

Word Pronunciation, answered

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

Scaling up?