Webhook Http Request

AgentPMT@agentpmt

Webhook - HTTP Request: Make HTTP requests (GET, POST, PUT, DELETE, etc.). Use when an agent needs webhook http request, webhook http request, fetching data from third party rest apis for aggregation or transformation pipelines, submitting form data or json payloads to webhook endpoints for event driven workflows, authenticating with oauth protected services using bearer tokens for secure integrations, polling external services for status updates or job completion in asynchronous workflows.

Install

openclaw skills install @agentpmt/webhook-http-request

Webhook - HTTP Request

Freshness

Last updated: 2026-06-24.

If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.

What This Tool Does

A flexible and secure HTTP client designed for agent-driven API integrations and web service interactions. This function supports all standard HTTP methods including GET, POST, PUT, PATCH, DELETE, HEAD, and OPTIONS, enabling comprehensive RESTful API communication. Users can configure requests with custom headers, query parameters, and request bodies in JSON, plain text, or base64-encoded binary formats. The tool provides four authentication modes: none for public endpoints, basic for username/password credentials automatically encoded to Base64, bearer for OAuth-style token authentication, and header for custom API key or signature-based authentication schemes. Built-in security features include URL validation that blocks private and loopback IP addresses by default (configurable via allow_private), configurable timeouts from 1 to 120 seconds, and response size limits up to 20MB to prevent memory issues. Response handling offers four modes—auto, json, text, and base64—with auto-detection intelligently parsing responses based on content-type headers. The function returns comprehensive response metadata including status code, headers, final URL after redirects, and the parsed body, making it an essential building block for workflows that need to interact with external APIs, webhooks, or web services.

Product Instructions

Webhook - HTTP Request

Overview

A general-purpose HTTP client that can make requests to any public URL. Supports all standard HTTP methods, multiple authentication schemes, flexible body formats, and configurable response handling. Use it to call REST APIs, fetch web resources, post webhooks, or interact with any HTTP-based service.

Actions

request

Make an HTTP request to a specified URL.

Required Fields:

url — the full URL to send the request to (must be http or https)

Optional Fields:

request_method — HTTP method: GET, POST, PUT, PATCH, DELETE, HEAD, OPTIONS (default: GET)
headers — object of custom HTTP headers (e.g., {"Accept": "application/xml"})
query_params — object of URL query parameters (e.g., {"page": "2", "limit": "10"})
body_json — JSON object body (sets Content-Type to application/json automatically)
body_text — plain text body
body_base64 — base64-encoded binary body (for file uploads or binary data)
auth_type — authentication scheme: "none", "basic", "bearer", or "header" (default: "none")
auth_username — username for basic auth (required when auth_type is "basic")
auth_password — password for basic auth (required when auth_type is "basic")
auth_token — token for bearer auth (required when auth_type is "bearer")
auth_header_name — custom header name for header auth (required when auth_type is "header")
auth_header_value — custom header value for header auth (required when auth_type is "header")
timeout_seconds — request timeout in seconds, 1-120 (default: 30)
response_mode — how to return the response body: "auto", "json", "text", "base64" (default: "auto")
max_response_bytes — maximum response size in bytes, 1024-20971520 (default: 1048576 / 1 MB)
allow_private — set to true to allow requests to private/loopback IPs (default: false)

Note: Only one body field can be used per request (body_json, body_text, or body_base64).

Example — Simple GET request:

json

{
  "action": "request",
  "request_method": "GET",
  "url": "https://api.example.com/data",
  "query_params": {"format": "json"}
}

Example — POST with JSON body:

json

{
  "action": "request",
  "request_method": "POST",
  "url": "https://api.example.com/items",
  "headers": {"X-Custom-Header": "my-value"},
  "body_json": {"name": "Widget", "quantity": 5}
}

Example — Bearer token authentication:

json

{
  "action": "request",
  "request_method": "GET",
  "url": "https://api.example.com/protected/resource",
  "auth_type": "bearer",
  "auth_token": "eyJhbGciOiJIUzI1NiIs..."
}

Example — Basic authentication:

json

{
  "action": "request",
  "request_method": "GET",
  "url": "https://api.example.com/account",
  "auth_type": "basic",
  "auth_username": "myuser",
  "auth_password": "mypassword"
}

Example — Custom header authentication (API key):

json

{
  "action": "request",
  "request_method": "GET",
  "url": "https://api.example.com/v2/search",
  "auth_type": "header",
  "auth_header_name": "X-API-Key",
  "auth_header_value": "abc123def456"
}

Example — PUT to update a resource:

json

{
  "action": "request",
  "request_method": "PUT",
  "url": "https://api.example.com/items/42",
  "body_json": {"name": "Updated Widget", "quantity": 10}
}

Example — DELETE a resource:

json

{
  "action": "request",
  "request_method": "DELETE",
  "url": "https://api.example.com/items/42"
}

Example — Get binary response as base64:

json

{
  "action": "request",
  "request_method": "GET",
  "url": "https://example.com/image.png",
  "response_mode": "base64"
}

Response Format

Successful requests return:

status_code — HTTP status code (e.g., 200, 404)
headers — response headers as an object
content_type — the Content-Type header value
url — the final URL (after any redirects)
body_json, body_text, or body_base64 — response body in the format determined by response_mode

Common Workflows

Call a REST API — Use GET/POST/PUT/DELETE with body_json and auth_type to interact with any REST service.
Send a webhook — POST a JSON payload to a webhook URL to trigger external automations.
Fetch a web page — GET any public URL and receive the HTML as text.
Download binary content — GET a file URL with response_mode: "base64" to receive binary data encoded for further processing.
Check endpoint availability — Use HEAD or OPTIONS to verify a service is reachable without downloading the full response body.

Important Notes

Only http and https URLs are supported.
Requests to private or loopback IP addresses are blocked by default. Set allow_private to true to override.
Only one body type can be provided per request. Supplying more than one of body_json, body_text, or body_base64 will cause an error.
When response_mode is "auto", JSON responses are parsed automatically; otherwise text is returned, or base64 for binary content.
Responses exceeding max_response_bytes will be rejected. Increase the limit (up to ~20 MB) for larger payloads.
The maximum timeout is 120 seconds.

When To Use

Use this skill for Webhook - HTTP Request on AgentPMT.
Use it when an agent needs this specific tool's behavior, schema, inputs, outputs, and invocation shape.
Search and activation keywords: webhook http request, webhook http request, fetching data from third party rest apis for aggregation or transformation pipelines, submitting form data or json payloads to webhook endpoints for event driven workflows, authenticating with oauth protected services using bearer tokens for secure integrations, polling external services for status updates or job completion in asynchronous workflows, request, url.
Supported action names: request.

Use Cases

Fetching data from third-party REST APIs for aggregation or transformation pipelines
submitting form data or JSON payloads to webhook endpoints for event-driven workflows
authenticating with OAuth-protected services using bearer tokens for secure integrations
polling external services for status updates or job completion in asynchronous workflows
posting structured data to CRM or marketing automation platforms
retrieving remote configuration files or feature flags from external services
sending notifications to Slack or Discord webhooks with custom message payloads
interacting with payment gateways or e-commerce APIs for order processing
fetching remote JSON schemas or API specifications for validation workflows
integrating with legacy systems via custom header-based authentication for enterprise data exchange

Categories And Industries

No categories or industry tags are published for this tool.

Actions And Schema

Complete generated action schema: ./schema.md. Supported action count: 1. x402 availability: not enabled for this product.

request (action slug: request): Make an HTTP request to a specified URL. Supports all standard HTTP methods, multiple authentication schemes, and flexible body/response formats. Price: 5 credits. Parameters: allow_private, auth_header_name, auth_header_value, auth_password, auth_token, auth_type, auth_username, body_base64, plus 9 more.

Live Schema And Examples

Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.

Exact schema: call agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "webhook-http-request".
Detailed examples: call agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "webhook-http-request", or call this product with action: "get_instructions" when the product tool is already selected.
Treat returned live schema and instructions as more specific than this generated summary.

MCP schema lookup through the main AgentPMT MCP server:

json

{
  "method": "tools/call",
  "params": {
    "name": "AgentPMT-Tool-Search-and-Execution",
    "arguments": {
      "action": "get_schema",
      "tool_id": "webhook-http-request"
    }
  }
}

For live examples, keep the same MCP tool and use these arguments:

json

{
  "action": "get_instructions",
  "tool_id": "webhook-http-request"
}

Authenticated AgentPMT REST schema lookup body:

json

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_schema",
    "tool_id": "webhook-http-request"
  }
}

Authenticated AgentPMT REST live examples body:

json

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_instructions",
    "tool_id": "webhook-http-request"
  }
}

Call This Tool

Product slug: webhook-http-request

Marketplace page: https://www.agentpmt.com/marketplace/webhook-http-request

AgentPMT account route: first use ../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.
x402 route: not enabled for this product.
AgentPMT overview: use ../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.

If those setup skills are not installed beside this product skill, use the downloads below.

Core AgentPMT setup skills:

What AgentPMT is: ../what-is-agentpmt
- ClawHub page: https://clawhub.ai/agentpmt/what-is-agentpmt
- OpenClaw install: openclaw skills install what-is-agentpmt
- skills.sh install: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup
- ClawHub page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup
- OpenClaw install: openclaw skills install agentpmt-account-mcp-rest-api-setup
- skills.sh install: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

skills.sh install script:

bash

npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

MCP call shape after the main AgentPMT MCP server is connected:

json

{
  "method": "tools/call",
  "params": {
    "name": "Webhook---HTTP-Request",
    "arguments": {
      "action": "request",
      "allow_private": false,
      "auth_header_name": "example auth header name",
      "auth_header_value": "example auth header value",
      "auth_password": "example auth password",
      "auth_token": "example auth token",
      "auth_type": "none",
      "auth_username": "example auth username",
      "body_base64": "example body base64"
    }
  }
}

Use the exact tool name returned by tools/list; the name above is the expected readable form.

Authenticated AgentPMT REST call body:

json

{
  "name": "webhook-http-request",
  "parameters": {
    "action": "request",
    "allow_private": false,
    "auth_header_name": "example auth header name",
    "auth_header_value": "example auth header value",
    "auth_password": "example auth password",
    "auth_token": "example auth token",
    "auth_type": "none",
    "auth_username": "example auth username",
    "body_base64": "example body base64"
  }
}

Use the setup skill for the account connection details before making REST calls.

Response Handling

Treat the returned JSON as the source of truth for this tool call.
If the response includes warnings or correction targets, apply them before retrying.
If the response includes a passed or success-style boolean, use it as the workflow gate.
If validation fails or the response shape is unclear, call get_schema or get_instructions before retrying.
If request fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.

Security

Do not place account secrets, wallet private keys, mnemonics, signatures, or payment headers in prompts or logs.
Keep tool inputs scoped to the minimum content needed for the task.
Use the setup skills for credential handling; this product skill only defines product-specific behavior.

AgentPMT Reference

What AgentPMT is: ../what-is-agentpmt (ClawHub: what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt)
AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup (ClawHub: agentpmt-account-mcp-rest-api-setup, page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup; skills.sh: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup)
Marketplace product: https://www.agentpmt.com/marketplace/webhook-http-request
AgentPMT main MCP server: https://api.agentpmt.com/mcp/
AgentPMT REST invoke endpoint: https://api.agentpmt.com/products/purchase