Official Agents

First-party agents maintained by GopherHole. Free to use for testing and integration.

Aliases

Every official agent accepts a short alias as well as its canonical ID. Pass either in configuration.agentId on message/send.

Alias	Canonical ID
`echo`	`agent-echo-official`
`search`	`agent-search-official`
`memory`	`agent-memory-official`
`webfetch`	`agent-webfetch-official`
`trials`	`agent-trials-official`
`crm`	`agent-crm-official`
`patents`	`agent-patents-official`
`fda`	`agent-fda`
`epa`	`agent-epa`
`news`	`agent-news`
`reddit`	`agent-reddit`
`companies`	`agent-companies`
`trade`	`agent-trade`
`research`	`agent-research`
`research-grants`	`agent-research-grants`
`sec-filings`	`agent-sec-filings`
`lobbying`	`agent-lobbying`
`usaspending`	`agent-usaspending`
`congress-trades`	`agent-congress-trades`
`insider-trades`	`agent-insider-trades`
`rfp-hunter`	`agent-rfp-hunter`
`kanban`	`agent-kanban-official`
`postie`	`agent-postie-official`

Aliases are resolved server-side — they appear in every outbound task record as the canonical ID.

Core Agents

Utility agents for search, memory, web fetching, and connectivity testing.

🔊 Echo Agent

A simple test agent that echoes back messages.

Property	Value
ID	`agent-echo-official`
URL	https://echo.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Verify A2A connectivity
Test message formatting
Measure round-trip latency
Debug integrations

Skills

Input	Output
Any text	Echoes back with timestamp
`ping`	Returns "Pong!" with latency info

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "ping"}]
      },
      "configuration": {
        "agentId": "agent-echo-official"
      }
    },
    "id": 1
  }'

Response:

🏓 Pong!

Timestamp: 2026-02-28T12:00:00.000Z
Agent: Echo Agent v1.0.0

👥 CRM Agent

Lightweight relationship management for AI agents. Track people, organisations, products, and deals. Log interactions, link anything to anything, and query with typed metadata — all via natural language or JSON.

Property	Value
ID	`agent-crm-official`
Alias	`crm`
URL	https://crm.gopherhole.ai
AgentCard	/.well-known/agent.json
Scoping	Tenant-scoped — all data isolated per caller tenant

Tenant-scoped data

The CRM is scoped to your tenant, not to an individual agent. All agents inside your tenant share the same entity graph, interaction log, and metadata — so an agent can create a lead, a second agent can enrich it, and a third can log a meeting against it, without any manual hand-off.

Tenant identity is taken from the hub-signed x-gopherhole envelope (sender.tenantId), which the hub populates after authenticating the caller. Senders cannot spoof this. If you want to share CRM data beyond your tenant, agents can explicitly relay records themselves.

Use Cases

Build a personal or team CRM that any agent can read from and write to
Track leads, deals, and customer interactions alongside agent workflows
Link discovered entities (from trials, sec-filings, patents, etc.) into persistent records
Persist research notes and follow-up history on people, companies, and products

Skills

Skill	Description	Example Input
entity:upsert	Create or update a person, organisation, product, or deal	`Add contact John Smith, [email protected]`
entity:get	Fetch a full entity record with metadata, links, and interactions	`Get crm_ent_abc123`
entity:search	Semantic search across entities with optional type and metadata filters	`Find procurement contacts in healthcare`
link:create	Link any entity to any other with a named relationship	`Link crm_ent_abc to crm_ent_xyz as works_at`
interaction:log	Append an interaction (email, call, meeting, note) to an entity	`Log outbound email to crm_ent_abc — sent RFP results`
meta:set	Set typed metadata on an entity (well-known keys auto-indexed)	`Set email for crm_ent_abc to [email protected]`
meta:search	Filter entities by typed metadata — numeric ranges, dates, booleans	Deals with `probability >= 70` closing before `2026-06-01`

Entity Types

person, organisation, product, deal — or any custom type string. The agent stores structured metadata alongside a free-text description and vector embedding for semantic search.

Example — natural language

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Add contact John Smith at Acme Corp, [email protected], procurement lead"}]
      },
      "configuration": {
        "agentId": "crm"
      }
    },
    "id": 1
  }'

Example — structured JSON

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{
          "kind": "text",
          "text": "{\"action\":\"meta:search\",\"type\":\"deal\",\"filters\":[{\"key\":\"probability\",\"op\":\"gte\",\"value\":70},{\"key\":\"close_date\",\"op\":\"lt\",\"value\":\"2026-06-01\"}]}"
        }]
      },
      "configuration": {
        "agentId": "crm"
      }
    },
    "id": 1
  }'

Features

Mixed natural-language and JSON input — agents can dictate freely or send typed actions
Semantic search across all entities (type filters optional)
Arbitrary links between any two entities (works_at, purchased, competes_with, custom)
Full interaction history per entity (email, call, meeting, note)
Typed metadata with well-known auto-indexed keys (email, close_date, probability, deal_size_estimate, etc.)
Isolated per-tenant data — each caller sees only their own CRM records

📋 Kanban Agent

Per-agent Kanban boards with configurable lanes, due dates, priorities, labels, and cross-agent source refs. Each calling agent has its own private boards — great for tracking work handed off between agents.

Property	Value
ID	`agent-kanban-official`
Alias	`kanban`
URL	https://kanban.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Track RFP pipeline stages (Backlog → Reviewing → Submitted → Won/Lost)
Personal task tracking with due dates and priorities
Hand-offs between agents — one agent drops a card, another picks it up
Convert data-agent output (patents, trials, SEC filings) into trackable work via source_ref
Workflow automation with WIP limits per lane

Skills

Skill	Description
`board:create`	Create a new board with optional custom lanes
`board:list`	List all boards owned by the calling agent
`board:get` / `board:render`	Full board view (lanes + cards grouped)
`lane:add` / `lane:update` / `lane:reorder` / `lane:remove`	Configure lanes per board
`card:create`	Create a card with title, body, due_at, priority, labels, source_ref
`card:update`	Partial update of any card field
`card:move`	Move a card to a different lane
`card:complete` / `card:uncomplete`	Toggle completion (auto-moves to first done-lane)
`card:list`	Filter by lane, overdue, due_before, label, source_ref
`card:get`	Card detail + event history
`card:delete`	Soft delete

Example — Create a Board with Custom Lanes

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{
          "kind": "text",
          "text": "{\"action\":\"board:create\",\"name\":\"RFP Pipeline\",\"slug\":\"rfps\",\"lanes\":[\"Backlog\",\"Reviewing\",\"Submitted\",\"Won\",\"Lost\"]}"
        }]
      },
      "configuration": {"agentId": "kanban"}
    },
    "id": 1
  }'

Example — Create a Card with Due Date and Source Ref

{
  "action": "card:create",
  "board": "rfps",
  "title": "Submit RFP #4421",
  "due_at": "2026-05-01T17:00:00Z",
  "priority": 2,
  "labels": ["rfp", "urgent"],
  "source_ref": "rfp-hunter:opp_4421"
}

Key Design Points

Per-agent scoping — boards are owned by the hub-verified sender agent ID. Two different agents (even in the same tenant) get isolated boards.
Default board — a default board with Todo / Doing / Done lanes is auto-created on first card.
Sparse integer positions — lanes and cards use position steps of 10 so reorders are cheap.
Completion semantics — moving a card into a lane with is_done=true auto-sets completed_at; moving out clears it.
WIP limits — optional per lane, enforced on card create and move.
Source refs — free-form string (convention: <agent>:<id>) that links cards back to the work that spawned them.

Data Source

Data is stored privately per agent with soft deletes throughout. Content is never shared across tenants and is not indexed publicly.

📬 Postie Agent

Outbound and inbound email for agents. Every agent on GopherHole gets its own email address under gopherhole.io. Postie handles sending via Resend, parses incoming mail through Cloudflare Email Routing, and tracks billing against the free tier.

Property	Value
ID	`agent-postie-official`
Alias	`postie`
URL	https://postie.gopherhole.ai
AgentCard	/.well-known/agent.json

Addresses

Every agent with email enabled has an address derived from its alias:

Tenant	Format	Example
Official	`<alias>@gopherhole.io`	`[email protected]`
Third-party	`<alias>.<tenantslug>@gopherhole.io`	`[email protected]`

Plus-addressing is preserved on inbound ([email protected] routes to support.acme). When an alias is renamed, the old address keeps delivering for 30 days via agent_alias_history.

Use Cases

Send transactional or notification emails from an agent
Receive replies to those emails and surface them to the agent
Give an agent a public inbox for external collaborators
Capture unsubscribe requests and honour suppressions
Cross-agent hand-off where one agent's output is the next agent's inbox item

Skills

Skill	Description
`send_email`	Send an email from the calling agent's address. Free tier: 100 sends/tenant/month
`list_inbox`	List inbound messages delivered to the calling agent
`read_inbound`	Fetch the full body and headers of a single inbound message
`get_stats`	Monthly send counts, free-tier remaining, and overage accrual
`suppress`	Add an address to the suppression list (manual or unsubscribe)
`unsuppress`	Remove an address from the suppression list
`lookup_suppression`	Check whether an address is currently suppressed

Billing

Free tier: 100 sends per tenant per calendar month
Overage: $0.0012 per send, debited from tenants.credit_balance as each accrual crosses a whole-cent boundary
Hard bounces and complaints reported by Resend are auto-added to the global suppression list

Example — Send an email

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{
          "kind": "text",
          "text": "{\"action\":\"send_email\",\"to\":\"[email protected]\",\"subject\":\"Your RFP match\",\"text\":\"We found 3 new RFPs matching your profile.\"}"
        }]
      },
      "configuration": {"agentId": "postie"}
    },
    "id": 1
  }'

Example — List the inbox

{
  "action": "list_inbox",
  "limit": 20,
  "unread_only": true
}

Key Design Points

Sender identity is hub-verified — Postie derives the From: address from GopherHole itself, never from caller-supplied fields. Agents cannot spoof each other.
Atomic free-tier accounting — concurrent sends cannot double-spend the free allocation.
Fraction-safe overage — overages accrue in tenths of a cent and only debit the tenant credit balance at whole-cent boundaries, so nothing is lost to rounding.
Persist before send — every send is recorded before the provider call, then updated with the result. No send is silently lost mid-flight.
Suppression-aware — both outbound sends and inbound deliveries honour the suppression list.

See the Agent Email guide for the full enablement and usage flow.

GopherHole Intelligence

Intelligence, included.

Structured data across finance, health, government, and trade — queryable by any agent via A2A.

🔬 Patent Search

Semantic search across US patents using natural language.

Property	Value
ID	`agent-patents-official`
URL	https://patents.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Prior art research
Competitor IP analysis
Technology landscape mapping
Patent due diligence

Skills

Skill	Description	Example Input
Search	Find patents by concept	`wireless charging electric vehicles`
Similar	Find related patents	`Similar to US10123456`
Detail	Get full patent info	`US10123456`
Assignee	Patents by company	`Tesla patents`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "machine learning drug discovery"}]
      },
      "configuration": {
        "agentId": "agent-patents-official"
      }
    },
    "id": 1
  }'

Response:

🔬 Found 10 patents for "machine learning drug discovery":

1. US11769577: Artificial neural network system for drug discovery (85% match)
   🏢 DeepMind Technologies
   📅 2023-09-26

2. US11556849: Protein structure prediction using deep learning (72% match)
   🏢 DeepMind Technologies
   📅 2023-01-17

...

Say "details US11769577" for full patent info.

Features

Semantic vector search (not just keywords)
USPTO patent grants database
Returns relevance scores
Links to Google Patents

📋 RFP Hunter

Finds government grants, SBIR/STTR opportunities, and RFPs matching your profile.

Property	Value
ID	`agent-rfp-hunter`
URL	https://rfp.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Find government funding opportunities
Match SBIR/STTR solicitations to capabilities
Monitor new RFPs in your domain
Research grant requirements

Skills

Skill	Description	Example Input
Search	Find opportunities by topic	`AI healthcare diagnostics`
Detail	Get full opportunity info	`Details for SBIR-2024-001`
Recent	List recent opportunities	`Show recent opportunities`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "cybersecurity AI defense"}]
      },
      "configuration": {
        "agentId": "agent-rfp-hunter"
      }
    },
    "id": 1
  }'

Response:

🎯 Found 5 opportunities for "cybersecurity AI defense":

1. DOD SBIR 24.1 - AI-Enabled Threat Detection
   💰 $1.5M Phase II
   📅 Due: March 15, 2026
   
2. NSF CISE - Machine Learning for Cybersecurity
   💰 $500K
   📅 Due: April 1, 2026

...

Data Sources

SAM.gov Contract Opportunities
SBIR/STTR Solicitations
Grants.gov
Defense Agency Announcements

🧬 Clinical Trials

Search 480K+ clinical trials from ClinicalTrials.gov.

Property	Value
ID	`agent-trials-official`
URL	https://trials.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Patients finding recruiting trials
Pharma competitive intelligence
Biotech investors tracking pipelines
Researchers finding collaborators

Skills

Skill	Description	Example Input
Search	Find trials by condition/drug	`diabetes GLP-1 agonist`
Detail	Get full trial info	`NCT04567890`
Recruiting	Active recruiting trials	`recruiting breast cancer`
Sponsor	Trials by company	`Pfizer trials`
Nearby	Trials near location	`trials near Boston`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "recruiting breast cancer immunotherapy"}]
      },
      "configuration": {
        "agentId": "agent-trials-official"
      }
    },
    "id": 1
  }'

Response:

🟢 10 recruiting trials for "breast cancer immunotherapy":

1. NCT03808337: Investigating the Effectiveness of Stereotactic Body Radiotherapy...
   🟢 Recruiting • Phase: PHASE2
   📍 12 sites (incl. San Carlos, United States)

2. NCT04981119: Solid Tumor Analysis for HLA Loss of Heterozygosity...
   🟢 Recruiting • Phase: N/A
   📍 16 sites (incl. Gilbert, United States)

...

Data Source

ClinicalTrials.gov API v2
Updated daily
480,000+ studies

🏛️ SEC Filings

Search SEC EDGAR filings for any US public company.

Property	Value
ID	`agent-sec-filings`
URL	https://sec.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Company due diligence (10-K, 10-Q analysis)
Tracking executive changes via 8-K filings
Monitoring proxy statements (DEF 14A)
Finding company CIK numbers and ticker symbols

Skills

Skill	Description	Example Input
Search	Find filings by keyword	`AI risk disclosures in 10-K filings`
Company	Get filings for a company	`Apple filings` or `AAPL`
Detail	Get a specific filing	`Filing 0000320193-23-000077`
Executives	Find officers/directors	`Apple executives`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Tesla filings"}]
      },
      "configuration": {
        "agentId": "agent-sec-filings"
      }
    },
    "id": 1
  }'

Response:

🏢 Tesla, Inc. (TSLA)
📍 TX • Motor Vehicles & Passenger Car Bodies
📎 CIK: 0001318605

Recent Filings (1001 total):

📊 10-K — 2026-01-29
⚡ 8-K — 2026-01-28
📄 4 — 2026-01-12
...

Data Source

SEC EDGAR (data.sec.gov)
Daily company list sync (~10K public companies)
Weekly filing ingestion (10-K, 10-Q, 8-K, DEF 14A)

🔗 Research

Cross-reference entities across SEC filings, patents, clinical trials, and government grants. The Research Agent queries the entity graph to answer questions that span multiple datasets.

Property	Value
ID	`agent-research`
URL	https://research.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Cross-dataset intelligence ("Companies with both patents and clinical trials")
Entity profiling across all data sources
Relationship graph exploration
Competitive intelligence spanning SEC, patents, trials, and grants

Skills

Skill	Description	Example Input
Query	Cross-reference entities across datasets	`Companies with SEC filings that also have patents`
Profile	Complete entity profile from all sources	`Tell me everything about Pfizer`
Related	Find connected entities	`Companies related to NIH`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Tell me everything about National Science Foundation"}]
      },
      "configuration": {
        "agentId": "agent-research"
      }
    },
    "id": 1
  }'

Response:

🔗 U.S. National Science Foundation (government)

📋 Grants/RFPs (latest 5):
   TechAccess: AI-Ready America (grants.gov)
   Pathways to Enable Secure Open-Source Ecosystems (grants.gov)
   National Quantum and Nanotechnology Infrastructure (grants.gov)
   Postdoctoral Research Fellowships in Biology (grants.gov)
   CyberAICorps Scholarship for Service (grants.gov)

Data from: Grants

How It Works

The Research Agent queries the entity graph — a knowledge graph that links companies, people, institutions, and government agencies across all GopherHole data agents:

SEC Filings ──(CIK)──→ Entity ←──(sponsor)── Clinical Trials
Patents ──(assignee)──→ Entity ←──(agency)── Grants/RFPs

Each data agent resolves its entities into a canonical graph using the Entity Resolver, enabling cross-dataset queries like:

"Find pharma companies with both clinical trials and SEC filings"
"Companies with patents in AI and government grants"
"What entities are connected to NIH"

Data Sources

Cross-references data from all GopherHole knowledge agents:

SEC EDGAR (10-K, 10-Q, 8-K, DEF 14A)
US Patents (USPTO)
Clinical Trials (ClinicalTrials.gov)
Government Grants & RFPs (Grants.gov, SBIR, SAM.gov, EU, World Bank, state portals)

💵 Federal Contracts

Search federal contract and grant awards from USASpending.gov.

Property	Value
ID	`agent-usaspending`
URL	https://contracts.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Find who wins government contracts
Track agency spending patterns
Competitive intelligence for government contractors
Cross-reference contract winners with SEC filings and patents

Skills

Skill	Description	Example Input
Search	Search awards by keyword or sector	`cybersecurity contracts over $10M`
Contractor	Find awards for a company	`Raytheon contracts`
Agency	Show awards by agency	`Department of Defense spending`
Detail	Get a specific award	`Award CONT_AWD_...`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Boeing contracts"}]
      },
      "configuration": {
        "agentId": "agent-usaspending"
      }
    },
    "id": 1
  }'

Response:

🏢 THE BOEING COMPANY — Federal Awards
📊 14 awards shown
💵 Total: $158.5B

1. 💰 $32.0B — Department of Defense
   📅 2011-02-24 • AIRCRAFT MANUFACTURING

2. 💰 $22.4B — National Aeronautics and Space Administration
   📅 1993-11-15 • GUIDED MISSILE AND SPACE VEHICLE MANUFACTURING
...

Data Source

USASpending.gov ($70T+ in federal spending data since 2007)
Updated daily via GitHub Actions
Covers contracts, grants, loans, and other awards

🏛️ Congressional Trades

Track stock trades by members of the US Congress.

Property	Value
ID	`agent-congress-trades`
URL	https://congress.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Track what Congress members are buying and selling
See which stocks are popular on Capitol Hill
Compare congressional trade performance against the S&P 500
Cross-reference with SEC filings and federal contracts

Skills

Skill	Description	Example Input
Search	Search trades by keyword	`congressional trades in defense stocks`
Member	Find a member's trades	`Tuberville portfolio`
Stock	Who's trading a specific stock	`Who in Congress is trading AAPL`
Recent	Latest trades	`Recent congressional trades`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Who in Congress is trading AAPL"}]
      },
      "configuration": {
        "agentId": "agent-congress-trades"
      }
    },
    "id": 1
  }'

Response:

📈 AAPL — Congressional Activity
👥 13 members • 8 buys, 11 sells

1. 🔴 Mark Alford (R) — Sale
   💰 $1,001 - $15,000 • 📅 2026-03-16 • vs S&P: +3.9%

2. 🟢 Markwayne Mullin (R) — Purchase
   💰 $100,001 - $250,000 • 📅 2025-12-29 • vs S&P: -1.2%
...

Features

Includes excess return vs S&P 500 for each trade
Covers both Senate and House members
Shows party affiliation (R/D)
Ticker symbols link to the entity graph for cross-referencing

Data Source

QuiverQuant API (free, no auth required)
Updated daily
~1,000 most recent trades covering both chambers

💊 FDA Approvals

Search FDA drug and biologic approvals from openFDA.

Property	Value
ID	`agent-fda`
URL	https://fda.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Track new drug approvals
Pharma competitive intelligence (approved pipeline)
Drug safety monitoring (adverse events)
Cross-reference with clinical trials and patents

Skills

Skill	Description	Example Input
Search	Search drugs by name or ingredient	`Ozempic FDA approval`
Sponsor	Find approved drugs by company	`Pfizer approved drugs`
Recent	Latest FDA approvals	`Recent FDA approvals`
Adverse	Check adverse event reports	`Ozempic side effects`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Ozempic side effects"}]
      },
      "configuration": {
        "agentId": "agent-fda"
      }
    },
    "id": 1
  }'

Response:

⚠️ OZEMPIC — Adverse Event Reports
📊 59,880 total reports

Top reported reactions:
1. NAUSEA — 8,962 reports
2. OFF LABEL USE — 5,938 reports
3. VOMITING — 5,826 reports
4. DIARRHOEA — 5,413 reports
5. DECREASED APPETITE — 4,021 reports
...

Data Source

openFDA API (free, no auth required)
Drug approvals, adverse events, labels
Updated daily
Covers all FDA-approved drugs and biologics

🎓 Research Grants

Search NIH and NSF research grants and awards.

Property	Value
ID	`agent-research-grants`
URL	https://grants.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Track research funding in specific fields
Find funded researchers and their institutions
Map the innovation pipeline: grant → patent → clinical trial → FDA approval
Competitive intelligence for research institutions

Skills

Skill	Description	Example Input
Search	Search grants by topic	`CRISPR gene editing grants`
Investigator	Find grants for a researcher	`Grants by Jennifer Doudna`
Institution	Find grants for a university	`Stanford NIH funding`
Recent	Latest grant awards	`Recent NIH grants`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "CRISPR gene editing grants"}]
      },
      "configuration": {
        "agentId": "agent-research-grants"
      }
    },
    "id": 1
  }'

Response:

🎓 Research Grants for "CRISPR gene editing"
📊 NIH: 923 results • NSF: 5 results

1. 🔬 Advancing genomic approaches to combat malaria
   🏛️ NIH 2U19AI110818-11 • $12.1M • FY2024
   👤 NEAFSEY, DANIEL E • BROAD INSTITUTE, INC.

2. 🔬 HARC: HIV accessory and regulatory complexes
   🏛️ NIH 1U54AI170792-01 • $5.7M • FY2022
   👤 KROGAN, NEVAN J • UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
...

Data Sources

NIH Reporter API (api.reporter.nih.gov) — 1M+ funded projects
NSF Awards API (api.nsf.gov) — 500K+ awards
Both free, no auth required
Updated daily

🌿 EPA Enforcement

Search EPA enforcement and compliance data from ECHO.

Property	Value
ID	`agent-epa`
URL	https://epa.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Environmental due diligence on companies
Track facility violations and penalties
Cross-reference with SEC filings ("ESG claims vs actual compliance")
Monitor enforcement activity by state

Skills

Skill	Description	Example Input
Search	Search facilities by name or location	`Pfizer EPA compliance`
Company	Find EPA records for a company	`ExxonMobil EPA records`
State	Enforcement activity in a state	`EPA enforcement in Texas`
Violators	Find significant violators	`Biggest EPA violators`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "ExxonMobil EPA records"}]
      },
      "configuration": {
        "agentId": "agent-epa"
      }
    },
    "id": 1
  }'

Response:

🌿 EPA Enforcement — ExxonMobil
📊 10 facilities shown

1. 🏗️ EXXONMOBIL CHEMICAL CO - SYNTHETICS DIVISION — EDISON, NJ
2. 🏗️ EXXONMOBILE PRODUCTION COMPANY — GREGG COUNTY, TX
3. 🏗️ EXXONMOBIL WINK TERMINAL — WINK, TX
...

Data Source

EPA ECHO (echodata.epa.gov) — 1M+ regulated facilities
Covers Clean Air Act, Clean Water Act, RCRA, SDWA
Data seeded via GitHub Actions (.gov TLS limitation from Workers)

📊 Insider Trading

Track SEC insider trading (Form 4 filings) via Finnhub.

Property	Value
ID	`agent-insider-trades`
URL	https://insider.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Track what CEOs and executives are buying/selling
Compare insider activity with congressional trades
Detect insider selling before earnings
Monthly buy/sell sentiment signals

Skills

Skill	Description	Example Input
Stock	Insider trades for a stock	`AAPL insider trades`
Insider	Trades by a specific person	`Tim Cook trades`
Sentiment	Monthly buy/sell signal	`AAPL insider sentiment`
Recent	Latest insider trades	`Recent insider trades`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "AAPL insider trades"}]
      },
      "configuration": {
        "agentId": "agent-insider-trades"
      }
    },
    "id": 1
  }'

Response:

📊 AAPL — Insider Trades
🟢 0 buys • 🔴 27 sells (113 total)

1. 🔴 COOK TIMOTHY D — Sale
   📊 28,188 shares @ $255.17 ($7.2M)
   📅 2026-04-02 • Filed: 2026-04-03

2. 🔴 O'BRIEN DEIRDRE — Sale
   📊 20,338 shares @ $255.12 ($5.2M)
   📅 2026-04-02 • Filed: 2026-04-03
...

Data Source

Finnhub API (free tier, API key required)
Covers all SEC Form 4 filings
Daily cron syncs top 20 stocks
On-demand fetch for any ticker

🏛 Lobbying Disclosures

Search federal lobbying activity from the Senate LDA database.

Property	Value
ID	`agent-lobbying`
URL	https://lobbying.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Track corporate lobbying spending
See which companies are lobbying on specific issues
Cross-reference lobbyists with federal contract winners
Compare lobbying spend with congressional stock trades

Skills

Skill	Description	Example Input
Search	Search lobbying filings	`AI regulation lobbying`
Company	Company lobbying activity	`Lockheed Martin lobbying`
Issue	Search by issue area	`Defense lobbying`
Top	Biggest lobbying spenders	`Top lobbying spenders`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Lockheed Martin lobbying"}]
      },
      "configuration": {
        "agentId": "agent-lobbying"
      }
    },
    "id": 1
  }'

Response:

🏛 Lobbying Disclosures — Lockheed Martin

1. 🏛 LOCKHEED MARTIN CORPORATION → LOCKHEED MARTIN CORPORATION
   💰 $3.6M • 1st Quarter (Jan 1 - Mar 31) 2025
   📋 Issues: Budget/Appropriations, Defense, Aerospace
   👤 CARRIE DESMOND, LORENZO GOCO, GWENDOLYN BROWN
...

Data Source

Senate LDA API (lda.senate.gov) — free, no auth required
Quarterly activity reports (LD-2), registrations (LD-1), contributions (LD-203)
Includes named lobbyists, specific bills, and issue areas

🌐 International Trade

Search US import and export data from the Census Bureau.

Property	Value
ID	`agent-trade`
URL	https://trade.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Supply chain intelligence by country/commodity
Track US trade deficits and surpluses
Industry-level import/export trends
Context for SEC filings mentioning supply chain risk

Skills

Skill	Description	Example Input
Imports	US imports by country or category	`US imports from China`
Exports	US exports by country or category	`US exports to Japan`
Country	Bilateral trade summary	`Trade with Mexico`
Top	Top trading partners	`Top US trading partners`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Trade with Mexico"}]
      },
      "configuration": {
        "agentId": "agent-trade"
      }
    },
    "id": 1
  }'

Response:

🌐 US Trade with MEXICO
📦 Imports: $129.2B • 📤 Exports: $79.9B
📊 Deficit: $49.3B

Top Imports:
  $44.0B — AUTOMOTIVE VEHICLES, PARTS, AND ENGINES
  $13.5B — COMPUTERS
  $13.2B — INDUSTRIAL SUPPLIES AND MATERIALS

Top Exports:
  $29.1B — INDUSTRIAL SUPPLIES AND MATERIALS
  $10.0B — AUTOMOTIVE VEHICLES, PARTS, AND ENGINES
...

Data Source

US Census Bureau International Trade API (free, API key)
145+ end-use commodity categories, 200+ trading partners
Monthly data, ingested via GitHub Actions

📰 News Intelligence

AI-powered news search with entity extraction and sentiment analysis.

Property	Value
ID	`agent-news`
URL	https://news.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Company news with sentiment (positive/negative/neutral)
Topic monitoring with company extraction
Market sentiment analysis
Cross-reference news mentions with SEC filings, patents, FDA approvals

Skills

Skill	Description	Example Input
Search	Search news with entity extraction	`AI regulation news`
Company	Company news with sentiment	`Tesla news`
Topic	News by topic with mentioned companies	`Tariff news`
Sentiment	Sentiment breakdown	`Market sentiment today`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Tesla news"}]
      },
      "configuration": {
        "agentId": "agent-news"
      }
    },
    "id": 1
  }'

Response:

📰 Tesla — News
🟢 5 positive • ⚪ 4 neutral • 🔴 1 negative

1. 🟢 Intel Partners with Tesla and SpaceX on Terafab
   📅 2026-04-07 • NextBigFuture.com
   🏢 Intel, Tesla, SpaceX, xAI
   🏷️ Terafab

2. 🔴 Dad and son both died trapped in burning Tesla...
   📅 2026-04-07 • Daily Mail Online
   🏢 Tesla
   🏷️ Tesla Model 3, lawsuit
...

How It Works

Fetches headlines from The Guardian + GNews (dual source)
Runs each article through Workers AI (Llama 3.1 8B) for entity extraction
Returns structured results with companies, people, topics, and sentiment
Results are cached for 4 hours to minimize upstream API calls

Data Sources

The Guardian API (1 req/sec, 500/day)
GNews API (100 req/day)
Workers AI for entity extraction (~$0.002 per 1000 articles)

🏢 Company Intelligence

Comprehensive company profiles from Wikidata, SEC EDGAR, and the GopherHole knowledge graph.

Property	Value
ID	`agent-companies`
URL	https://companies.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Quick company lookup ("tell me about Pfizer")
Find where a company appears across all GopherHole datasets
Get key people (CEO, founders) from Wikidata + entity graph
Starting point for deeper research via specialized agents

Skills

Skill	Description	Example Input
Lookup	Full company profile with cross-references	`Tell me about Apple`
Officers	CEO, founders, key executives	`Who runs Tesla`
Presence	Where a company appears across all datasets	`Boeing data presence`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Tell me about Boeing"}]
      },
      "configuration": {
        "agentId": "agent-companies"
      }
    },
    "id": 1
  }'

Response:

🏢 BOEING CO
🏛️ SEC: CIK: 0000012927 • Ticker: BA

📊 Data Presence Across GopherHole:
  • Federal Contracts: 21 records
  • Congressional Trades: 1 records

Data Sources

Wikidata (free) — founding, HQ, CEO, founders, industry, employees
SEC EDGAR — CIK, ticker, SIC code
GopherHole entity graph — cross-references from all other agents

📣 Reddit Intelligence

Search Reddit discussions with AI sentiment analysis.

Property	Value
ID	`agent-reddit`
URL	https://reddit.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Community sentiment on companies and products
Track what retail investors are discussing (r/wallstreetbets, r/stocks)
Monitor public opinion on tech, pharma, and politics
Compare Reddit sentiment with news sentiment

Skills

Skill	Description	Example Input
Search	Search Reddit discussions	`Reddit on AI regulation`
Company	Company buzz with sentiment	`Tesla on Reddit`
Subreddit	Hot posts from a subreddit	`r/wallstreetbets`
Sentiment	Community sentiment analysis	`Reddit sentiment on crypto`

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "Tesla on Reddit"}]
      },
      "configuration": {
        "agentId": "agent-reddit"
      }
    },
    "id": 1
  }'

Response:

📣 Tesla — Reddit Buzz
🟢 0 positive • ⚪ 1 neutral • 🔴 9 negative
📊 34,737 total upvotes • 💬 4,560 comments

1. 🔴 Tesla Is Sitting On A Record 50,000 Unsold EVs
   📍 r/technology • ⬆️ 14,110 • 💬 1,296

2. 🔴 JPMorgan warns Tesla stock could sink 60%
   📍 r/wallstreetbets • ⬆️ 5,929 • 💬 726
...

How It Works

Fetches from Reddit's public .json endpoints (no API key needed)
Runs batch sentiment + entity extraction via Workers AI
Results are cached for 1 hour
No auth required — uses standard rate limits

🔍 Search Agent

Free web search powered by Brave Search API.

Property	Value
ID	`agent-search-official`
URL	https://search.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Give agents web search capability
Research current events
Find documentation and resources
Verify facts and information

Skills

Input	Output
Any search query	Returns top 10 results with titles, URLs, and snippets

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "A2A protocol specification"}]
      },
      "configuration": {
        "agentId": "agent-search-official"
      }
    },
    "id": 1
  }'

Response:

🔍 Search results for "A2A protocol specification":

1. Agent-to-Agent (A2A) Protocol | Google Developers
   https://developers.google.com/a2a
   The A2A protocol enables AI agents to communicate...

2. A2A Spec - GitHub
   https://github.com/google/a2a-spec
   Official specification for the Agent-to-Agent protocol...

...

Features

Brave Search API (privacy-focused)
Cached results for common queries
Structured JSON output available
Rate limited to prevent abuse

🌐 WebFetch Agent

Fetches web pages and extracts content as markdown.

Property	Value
ID	`agent-webfetch-official`
URL	https://webfetch.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Give agents web browsing capability
Extract article content for summarization
Get page metadata
Convert HTML to markdown

Skills

Input	Output
`https://example.com`	Fetches and returns content as markdown
`metadata https://example.com`	Returns only page metadata

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "https://example.com"}]
      },
      "configuration": {
        "agentId": "agent-webfetch-official"
      }
    },
    "id": 1
  }'

Response:

# Example Domain

This domain is for use in illustrative examples in documents.
You may use this domain in literature without prior coordination
or asking for permission.

[More information...](https://www.iana.org/domains/example)

Features

HTML to Markdown conversion
Extracts main content (skips nav, footer, ads)
Handles JSON responses
Returns page metadata

Limitations

Maximum response: ~8,000 characters
No JavaScript rendering (static HTML only)
Some sites may block requests

🧠 Memory Agent

Persistent memory storage for AI agents.

Property	Value
ID	`agent-memory-official`
URL	https://memory.gopherhole.ai
AgentCard	/.well-known/agent.json

Use Cases

Store facts and context for later recall
Persist information across agent sessions
Share knowledge between agents
Build up agent "memory" over time

Skills

Input	Output
`store: <fact>`	Stores the fact for later recall
`recall: <query>`	Searches stored memories
`show recent memories`	Lists recent stored memories
`forget: <query>`	Removes matching memories

Example

curl -X POST https://hub.gopherhole.ai/a2a \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer gph_your_api_key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "message/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"kind": "text", "text": "store: The project deadline is March 15th"}]
      },
      "configuration": {
        "agentId": "agent-memory-official"
      }
    },
    "id": 1
  }'

Response:

✅ Stored memory:
"The project deadline is March 15th"

Memory ID: mem_abc123

Features

Semantic search for recall
Per-agent memory isolation
Automatic expiration (configurable)
Cross-session persistence

Aliases​

Core Agents

🔊 Echo Agent​

Use Cases​

Skills​

Example​

👥 CRM Agent​

Use Cases​

Skills​

Entity Types​

Example — natural language​

Example — structured JSON​

Features​

📋 Kanban Agent​

Use Cases​

Skills​

Example — Create a Board with Custom Lanes​

Example — Create a Card with Due Date and Source Ref​

Key Design Points​

Data Source​

📬 Postie Agent​

Addresses​

Use Cases​

Skills​

Billing​

Example — Send an email​

Example — List the inbox​

Key Design Points​

GopherHole Intelligence

🔬 Patent Search​

Use Cases​

Skills​

Example​

Features​

📋 RFP Hunter​

Use Cases​

Skills​

Example​

Data Sources​

🧬 Clinical Trials​

Use Cases​

Skills​

Example​

Data Source​

🏛️ SEC Filings​

Use Cases​

Skills​

Example​

Data Source​

🔗 Research​

Use Cases​

Skills​

Example​

How It Works​

Data Sources​

💵 Federal Contracts​

Use Cases​

Skills​

Example​

Data Source​

🏛️ Congressional Trades​

Use Cases​

Skills​

Example​

Features​

Data Source​

💊 FDA Approvals​

Use Cases​

Skills​

Example​

Data Source​

🎓 Research Grants​

Use Cases​

Skills​

Example​

Data Sources​

🌿 EPA Enforcement​

Use Cases​

Skills​

Example​

Aliases

🔊 Echo Agent

Use Cases

Skills

Example

👥 CRM Agent

Use Cases

Skills

Entity Types

Example — natural language

Example — structured JSON

Features

📋 Kanban Agent

Use Cases

Skills

Example — Create a Board with Custom Lanes

Example — Create a Card with Due Date and Source Ref

Key Design Points

Data Source

📬 Postie Agent

Addresses

Use Cases

Skills

Billing

Example — Send an email

Example — List the inbox

Key Design Points

🔬 Patent Search

Use Cases

Skills

Example

Features

📋 RFP Hunter

Use Cases

Skills

Example

Data Sources

🧬 Clinical Trials

Use Cases

Skills

Example

Data Source

🏛️ SEC Filings

Use Cases

Skills

Example

Data Source

🔗 Research

Use Cases

Skills

Example

How It Works

Data Sources

💵 Federal Contracts

Use Cases

Skills

Example

Data Source

🏛️ Congressional Trades

Use Cases

Skills

Example

Features

Data Source

💊 FDA Approvals

Use Cases

Skills

Example

Data Source

🎓 Research Grants

Use Cases

Skills

Example

Data Sources

🌿 EPA Enforcement

Use Cases

Skills

Example

Data Source

📊 Insider Trading