Agent Data API

competitors

Idempotent

Up to 10 organic search competitors of a domain with ranking overlap and traffic metrics (DataForSEO Labs Competitors Domain). Use it to find who competes with a domain; use keyword_gap to see which keywords a known competitor ranks for that you do not. Returns: JSON with target, total_available, competitors. PAID: 0.04 USDC per call (USDC on eip155:8453, x402 v2). Requires an x402-capable MCP client that attaches the payment in _meta["x402/payment"] (e.g. createx402MCPClient from @x402/mcp). Without a payment this tool returns a "payment required" result and charges nothing.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "domain": "<domain>"
    },
    "name": "competitors"
  }
}

Input Schema

Name	Required	Description
`domain`	Yes	Domain to analyze, e.g. example.com. A pasted URL is reduced to its domain; IP addresses and ports are rejected.
`language_code`	No	Language code such as en or de. Default: English if available for the country, else its first language. Unsupported country/language pairs are refused before payment.
`location_code`	No	DataForSEO location code. Country level: 2840 = United States (default), 2276 = Germany, 2040 = Austria, 2756 = Switzerland. Google SERP, Maps, News, Images and Local Market Check also accept city/region codes in Germany, Austria and Switzerland (free lookup: GET /api/v1/locations?q=...).

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 23, 2026

changedInput schema / properties / location_code / description

Previous value: -"DataForSEO country code. 2840 = United States (default), 2276 = Germany, 2826 = United Kingdom. Country-level codes only."New value: +"DataForSEO location code. Country level: 2840 = United States (default), 2276 = Germany, 2040 = Austria, 2756 = Switzerland. Google SERP, Maps, News, Images and Local Market Check also accept city/region codes in Germany, Austria and Switzerland (free lookup: GET /api/v1/locations?q=...)."

First observedOct 22, 2026

TDQS

A4.6/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes well beyond the annotations by disclosing cost (0.04 USDC), the payment rail (eip155:8453, x402 v2), the required client capability, and the exact failure behavior ('returns a payment required result and charges nothing'). That failure-mode disclosure is the kind of context annotations cannot carry.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose, alternative, return shape and payment terms are front-loaded and each sentence carries information an agent needs before calling. The payment passage is slightly dense (client library name, chain id) but is not padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description still names the return shape (target, total_available, competitors), and for a paid, open-world tool the cost and payment prerequisite are fully spelled out. Nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so domain, language_code and location_code are already fully documented, including the country codes and default. The description adds no additional parameter meaning beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Up to 10 organic search competitors of a domain') plus the underlying source (DataForSEO Labs Competitors Domain) and the metrics returned. It also names the sibling it is not (keyword_gap), so an agent can distinguish it without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use it ('find who competes with a domain') and names the alternative plus the condition that selects it ('use keyword_gap to see which keywords a known competitor ranks for that you do not'). No inference required.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Agent Data API tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources

Need Help?