# Google Gemini Chat with Web Access

> Google Gemini Chat with Web Access is a paid API for AI agents from agents.openwebninja.com, paid per call via MPP, price unknown, status unknown (last checked 2026-10-14).

Send a message to Google Gemini and get a web-grounded response, with support for multi-turn conversation via conversation IDs.

## Facts

- Endpoint: POST https://agents.openwebninja.com/gemini/chat?utm_source=zero.xyz
- Price: price unknown
- Payment: MPP
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Provider: agents.openwebninja.com
- Website: https://agents.openwebninja.com
- Canonical page: https://www.zero.xyz/c/agents-openwebninja-com-google-gemini-chat-with-web-access-8b506231
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4V31W8bx10vquBy3XAp_5

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability agents-openwebninja-com-google-gemini-chat-with-web-access-8b506231 -d '<json body>'
```

Example prompt: Ask Google Gemini what the latest developments are in quantum computing this year, and keep the response in markdown format so I can read the sources it cites.

## When to prefer this

Choose this endpoint when you need Google Gemini specifically (rather than ChatGPT or Copilot), especially when web-grounded answers with cited sources are important. It is the right choice for multi-turn conversations that need to persist across API calls via conversation_id, and for research tasks where knowing which URLs Gemini consulted is valuable. Prefer it over the AI Overviews or AI Mode endpoints when you want a conversational interface rather than structured search results.

## Known failure modes

- Missing required 'message' field returns a 400-level validation error
- Invalid or expired conversation_id may start a new conversation instead of continuing the prior one
- Gemini service unavailability or rate limiting results in a non-'ok' status field
- Long or ambiguous messages may produce incomplete or truncated replies
- When no web sources are found, reference_links is an empty array and the answer may be based solely on Gemini's training data

## How this service works

Chat with Google Gemini with web access and continuous conversation support.

## Output

Returns a reply_text string (in markdown or plain text depending on the parameter), a conversation_id for continuing the thread in future calls, and an array of reference_links — each containing a URL, page title, publisher name, favicon URL, and a content snippet — representing the web sources Gemini grounded its answer on. If no web search was performed, reference_links is empty.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "message"
 ],
 "properties": {
  "message": {
   "type": "string",
   "example": "Hello",
   "description": "Message to send to Google Gemini."
  },
  "markdown": {
   "type": "boolean",
   "default": true,
   "description": "Whether to return the Google Gemini response message in markdown format. By default, the bot reply is in plain text.\n"
  },
  "conversation_id": {
   "type": "string",
   "example": null,
   "description": "Conversation Id. In case not supplied, a new conversation will be created and conversation_id will be returned by the endpoint.\n"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "status",
  "request_id",
  "data"
 ],
 "properties": {
  "data": {
   "type": "object",
   "required": [
    "reply_text",
    "reference_links",
    "conversation_id"
   ],
   "properties": {
    "reply_text": {
     "type": "string",
     "description": "The Gemini reply text. Returned as markdown when the markdown parameter is true, otherwise as plain text."
    },
    "conversation_id": {
     "type": "string",
     "description": "ID used to continue the conversation in a follow-up request."
    },
    "reference_links": {
     "type": "array",
     "items": {
      "type": "object",
      "properties": {
       "link": {
        "type": "string",
        "description": "URL of the source page."
       },
       "title": {
        "type": "string",
        "nullable": true,
        "description": "Title of the source page."
       },
       "source": {
        "type": "string",
        "nullable": true,
        "description": "Name of the publisher, when Gemini provides one."
       },
       "favicon": {
        "type": "string",
        "nullable": true,
        "description": "URL of the source's favicon."
       },
       "snippet": {
        "type": "string",
        "nullable": true,
        "description": "Excerpt of the source content Gemini cited."
       }
      }
     },
     "description": "Web sources Gemini grounded the reply on. Empty when the reply was answered without a web search.\n"
    }
   }
  },
  "status": {
   "type": "string",
   "description": "The status of the API response."
  },
  "request_id": {
   "type": "string",
   "description": "A unique ID to trace the API request."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agents-openwebninja-com-google-gemini-chat-with-web-access-8b506231/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agents.openwebninja.com](https://www.zero.xyz/host/agents.openwebninja.com/llms.txt)