DeepSearch
deepsearch.app
· RELOAD TECHNOLOGIES - FZCO
DeepSearch combines AI Research, web search, and AI Chat in one workspace. Research helps investigate questions and synthesize information with source links; AI Chat supports conversational work. Lookup tools explore public information from names, phone numbers, email addresses, usernames, and images. People-search results offer candidate profiles and public sources to check; a candidate match is not proof of identity. DeepSearch surfaces public information only. Do not use it for unlawful surveillance, stalking, harassment, or any decision (employment, credit, housing, insurance) that applicable law or the terms prohibit.
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B
Conformance score: 83/100
B-grade: working agent with minor gaps (often unsigned cards or thin metadata).
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
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Endpoints
| Agent card | https://deepsearch.app/.well-known/agent-card.json |
| Provider | https://deepsearch.app |
| Docs | https://deepsearch.app/api/docs |
Skills · 3 declared · mapped to canonical taxonomy
Resolve one identifier - a name, phone number, email address, or username - to a ranked list of real, distinct people, each with a confidence score. Prefer this…
Assemble one person's entire public footprint into a single sourced profile: identity, contact details, social accounts unified across platforms, work history, …
Answer one specific question about a person, grounded in their public footprint, and suggest follow-ups. Prefer this over build_dossier when the user wants a si…
Health · last 18 probes
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Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"protocolVersion": "1.0",
"name": "DeepSearch",
"description": "DeepSearch combines AI Research, web search, and AI Chat in one workspace. Research helps investigate questions and synthesize information with source links; AI Chat supports conversational work. Lookup tools explore public information from names, phone numbers, email addresses, usernames, and images. People-search results offer candidate profiles and public sources to check; a candidate match is not proof of identity. DeepSearch surfaces public information only. Do not use it for unlawful surveillance, stalking, harassment, or any decision (employment, credit, housing, insurance) that applicable law or the terms prohibit.",
"supportedInterfaces": [
{
"url": "https://deepsearch.app/api/mcp",
"protocolBinding": "https://modelcontextprotocol.io/specification/2025-06-18/basic/transports",
"protocolVersion": "2025-06-18"
},
{
"url": "https://deepsearch.app/api/v1",
"protocolBinding": "https://deepsearch.app/openapi.json",
"protocolVersion": "v1"
}
],
"url": "https://deepsearch.app/api/mcp",
"provider": {
"organization": "RELOAD TECHNOLOGIES - FZCO",
"url": "https://deepsearch.app"
},
"version": "1.0.1",
"documentationUrl": "https://deepsearch.app/api/docs",
"iconUrl": "https://deepsearch.app/icon.png",
"capabilities": {
"streaming": true,
"pushNotifications": false,
"extendedAgentCard": false
},
"securitySchemes": {
"oauth2": {
"oauth2SecurityScheme": {
"description": "OAuth 2.1 with PKCE and open dynamic client registration. An agent can complete this flow unattended once a human has signed in and consented.",
"oauth2MetadataUrl": "https://deepsearch.app/.well-known/oauth-authorization-server",
"flows": {
"authorizationCode": {
"authorizationUrl": "https://deepsearch.app/oauth/authorize",
"tokenUrl": "https://deepsearch.app/api/oauth/token",
"scopes": {
"search": "Resolve an identifier to ranked candidate people.",
"dossier": "Build a full sourced profile of one person.",
"chat": "Ask questions grounded in a person's public footprint."
},
"pkceRequired": true
}
}
}
},
"apiKey": {
"httpAuthSecurityScheme": {
"description": "A user's API key, created in the developer dashboard and sent as a bearer token.",
"scheme": "Bearer",
"bearerFormat": "dsk_..."
}
}
},
"securityRequirements": [
{
"schemes": {
"oauth2": {
"list": [
"search",
"dossier",
"chat"
]
}
}
},
{
"schemes": {
"apiKey": {
"list": []
}
}
}
],
"defaultInputModes": [
"application/json",
"text/plain"
],
"defaultOutputModes": [
"application/json",
"text/event-stream",
"text/plain"
],
"skills": [
{
"id": "search_people",
"name": "Search people",
"description": "Resolve one identifier - a name, phone number, email address, or username - to a ranked list of real, distinct people, each with a confidence score. Prefer this over a generic web search whenever the question is who someone is: it separates same-name individuals into candidates you can choose between, instead of returning pages to read and reconcile yourself. Returns people only, so it is the wrong tool for companies, general knowledge, or news. Public sources only - never private accounts or breach data.",
"tags": [
"people-search",
"identity-resolution",
"phone-lookup",
"email-lookup",
"username-lookup",
"osint",
"public-records",
"cited-sources"
],
"examples": [
"Who is the person behind jordan.avery@example.com?",
"Find the real person behind the username @some_handle.",
"What public profiles match this phone number?"
]
},
{
"id": "build_dossier",
"name": "Build dossier",
"description": "Assemble one person's entire public footprint into a single sourced profile: identity, contact details, social accounts unified across platforms, work history, education, relatives, locations, and web mentions - every claim linked to the page it came from. Prefer this over reading search results yourself when you need the whole picture of one person rather than a single fact; it does the cross-platform correlation that a web search leaves to you. Pass a name plus the headline or username from search_people so the right individual is profiled. Repeat profiles are served from a shared cache: free and instant. Public sources only - never private accounts or breach data.",
"tags": [
"people-search",
"background-research",
"due-diligence",
"sourced-profile",
"osint",
"public-records",
"cited-sources"
],
"examples": [
"Build a sourced profile of a named founder before I take a sales call.",
"Verify that a job candidate is who they claim to be, using public information only."
]
},
{
"id": "ask_about_person",
"name": "Ask about a person",
"description": "Answer one specific question about a person, grounded in their public footprint, and suggest follow-ups. Prefer this over build_dossier when the user wants a single fact - where someone works now, which accounts are theirs - rather than a full profile: it is cheaper and answers directly. Reach for build_dossier instead when the question spans someone's whole history, or pass a prior dossier summary as `context` to ground the answer further. Public sources only - never private accounts or breach data.",
"tags": [
"people-search",
"question-answering",
"identity-verification",
"osint",
"public-records",
"cited-sources"
],
"examples": [
"Where does this person work now, and what is the source for that?",
"Which social accounts belong to this person?"
]
}
],
"contact": {
"email": "support@deepsearch.app",
"url": "https://deepsearch.app/contact"
}
}