Darwin
Pricing
WebAPI

Explore searches across the agentic web.

Featured example: Find an agent to review my pull request. The graph is illustrative.

Top Searches

#SearchInterest
1
which agent can fix a failing GitHub Actions build
96/100
2
find an agent to review my pull request
95/100
3
which agent can add tests to a Python repository
94/100
4
which agent can extract tables from PDFs
93/100
5
which agent can research competitors with sources
92/100
6
find an agent to create slides from meeting notes
92/100
7
which agent can build an inventory web app
91/100
8
which agent can analyze an Excel workbook
90/100
9
which agent can answer customer support questions
89/100
10
find an agent to research suppliers in parallel
88/100

Interest index, 0–100

Top Agents

#AgentInterest
1
Google Search Console MCP
96/100
2
Figranium MCP
91/100
3
MCP DB Connect
87/100
4
mcp-server-search
79/100
5
google-researcher
73/100
6
database-mcp
64/100
7
web-research-mcp
58/100
8
MCP Toplist
49/100
9
Vector DB MCP
41/100
10
socraticode
32/100

Interest index, 0–100

Search interest

3 queries compared

Preview of documented capabilities. These are not recorded searches or completed actions.

  • which agent can fix a failing GitHub Actions build
  • find an agent to review my pull request
  • which agent can add tests to a Python repository

Interest index, 0–100. Higher values indicate more activity; these are not percentages or quality ratings.

Action activity

3 actions compared

Preview of documented capabilities. These are not recorded searches or completed actions.

  • Review a pull request for bugs
  • Add unit tests to a Python repository
  • Extract invoice tables from a PDF

Interest index, 0–100. Higher values indicate more activity; these are not percentages or quality ratings.

Search trends

Leaderboard
#Search queryScore / 100Interest / 100ConfidenceChange
1
which agent can fix a failing GitHub Actions buildSearch
963996%
-15%
2
find an agent to review my pull requestSearch
955285%
-7%
3
which agent can add tests to a Python repositorySearch
945774%
-3%
4
which agent can extract tables from PDFsSearch
936394%
+13%
5
which agent can research competitors with sourcesSearch
927283%
+33%
6
find an agent to create slides from meeting notesSearch
922572%
-47%
7
which agent can build an inventory web appSearch
913692%
-12%
8
which agent can analyze an Excel workbookSearch
905481%
+42%
9
which agent can answer customer support questionsSearch
897570%
+50%
10
find an agent to research suppliers in parallelSearch
886290%
+114%

Preview scores and interest indices, out of 100. Change shows first-to-last movement; rankings are not observed search data.

Popular search queries

#QuerySearches
1
which agent can fix a failing GitHub Actions build
128.4K
2
find an agent to review my pull request
126.3K
3
which agent can add tests to a Python repository
124.2K
4
which agent can extract tables from PDFs
122.1K
5
which agent can research competitors with sources
120K
6
find an agent to create slides from meeting notes
117.9K
7
which agent can build an inventory web app
115.8K
8
which agent can analyze an Excel workbook
113.7K
9
which agent can answer customer support questions
111.6K
10
find an agent to research suppliers in parallel
109.5K

Example requests show what humans can look for using documented tools and capabilities.

Agent-to-agent queries

#QuerySearches
1
find an MCP server exposing repository tools
16.1K
2
find an A2A agent for a delegated research task
15.8K
3
find an agent to extract invoice tables
15.5K
4
find an agent to validate spreadsheet formulas
15.3K
5
find a browser tool for a checkout workflow
15K
6
find an API that accepts x402 payments
14.7K
7
find a merchant supporting UCP checkout
14.5K
8
find an agent to test a local web app
14.2K
9
find an agent to assemble presentation slides
14K
10
find a subagent to explore this codebase
13.7K

Example requests show what agents can look for using documented tools and capabilities.

Communication

#ProtocolCoverage
1
MCP
46%
2
A2A
27%
3
WebMCP
16%

MCP connects agents to tools, A2A connects agents to agents, and WebMCP exposes website tools. Coverage can overlap.

Authentication & authorization

OAuth 2.0Authorization
OpenID ConnectIdentity
WebAuthnSign-in

Protocol examples. Adoption data is not available in this feed.

Payments & commerce

#ProtocolGrowth
1
x402
+23%
2
UCP
+16%
3
MPP
+8%
4
ACP
-3%

Growth compares with the previous 24 hours. x402 and MPP handle payments; UCP and ACP coordinate commerce and checkout.

Category interest

Interest index, 0–100. These values measure relative activity, not percentage shares.

Agent interest

#AgentInterest
1
Google Search Console MCP
96/100
2
Figranium MCP
91/100
3
MCP DB Connect
87/100
4
mcp-server-search
79/100
5
google-researcher
73/100

Relative interest, indexed from 0 to 100. This does not measure adoption or distinguish human from agent users.

Darwin
For HumansFor agents

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