Server definition

Hash: sha256:4c60861904661d215e40681798ab8f5fc6cf0ba2ff72f80f1298d5280fdc94df
What it is: What a remote MCP server returned when asked what it offers: 19 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Assess the fraud risk of an Indian mobile number. Returns a composite risk profile: SIM age / age-on-network, number revocation status, SIM-swap / port signals, and digital & financial exposure. Set detailed=true for the full signal breakdown. Best for: onboarding risk checks, is-this-number-risky.\n\nCost: 3 credits",
      "inputSchema": {
        "properties": {
          "detailed": {
            "description": "Include the full raw signal breakdown. Default false.",
            "type": "boolean"
          },
          "phone": {
            "description": "Indian mobile number (10-digit, with or without +91).",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "assess_fraud_risk",
      "outputSchema": null
    },
    {
      "description": "\n**What it does:** Checks if a phone number has been used for any digital commerce activity (ecommerce, travel, quick-commerce).\n**Input:** Phone number (Indian numbers only, add ISD code infront).\n**Returns:** Boolean flags for overall commerce types, activity timeline, and demographics if available.\n**Best for:** Assessing if a phone number belongs to a real, active consumer vs. a throwaway number.\n\nCost: 1 credit",
      "inputSchema": {
        "properties": {
          "include_demographics": {
            "description": "Include age/gender estimation (default: true)",
            "type": "boolean"
          },
          "phone": {
            "description": "Phone number (with or without country code)",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "check_digital_commerce_activity",
      "outputSchema": null
    },
    {
      "description": "Check the status/result of an async job by job_id (e.g. from due_diligence_person_start). Free to poll — wait ~10s between polls.\n\nCost: 0 credits",
      "inputSchema": {
        "properties": {
          "job_id": {
            "description": "The job_id returned by an async tool.",
            "type": "string"
          }
        },
        "required": [
          "job_id"
        ],
        "type": "object"
      },
      "name": "check_job",
      "outputSchema": null
    },
    {
      "description": "\n**What it does:** Checks if a phone number is registered on major global platforms (Amazon, Instagram, Snapchat).\n**Input:** Phone number (with or without country code).\n**Returns:** Registration status (true/false) for each specific platform.\n**Best for:** Digital footprint analysis, verifying if a number is \"real\" and active on social/shopping apps.\n    \nCost: 1 credit",
      "inputSchema": {
        "properties": {
          "phone": {
            "description": "Phone number (with or without country code)",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "check_online_platforms",
      "outputSchema": null
    },
    {
      "description": "Start a full due-diligence / background check on a PERSON, anchored on their mobile number (optionally add name, PAN, DOB, email, city). Covers PEP, sanctions, enforcement, cybercrime, breaches, directorships, and adverse media. PREMIUM and ASYNC (~40-70s): it returns a job_id — poll check_job until status is 'complete'. Requires consent: ask the user to open the consent link in portal.outris.com/mcp and pass the consent_token.\n\nCost: 5 credits",
      "inputSchema": {
        "properties": {
          "city": {
            "description": "Optional city (adverse-media disambiguation).",
            "type": "string"
          },
          "consent": {
            "description": "Deprecated legacy consent flag ('Y'); migration only.",
            "type": "string"
          },
          "consent_token": {
            "description": "Server-issued consent token (preferred).",
            "type": "string"
          },
          "dob": {
            "description": "Optional date of birth (disambiguates common names).",
            "type": "string"
          },
          "email": {
            "description": "Optional subject email.",
            "type": "string"
          },
          "name": {
            "description": "Optional subject full name.",
            "type": "string"
          },
          "pan": {
            "description": "Optional PAN — strongest key for PEP/enforcement.",
            "type": "string"
          },
          "phone": {
            "description": "Indian mobile number (10-digit, with or without +91).",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "due_diligence_person_start",
      "outputSchema": null
    },
    {
      "description": "Skip-trace an Indian mobile number for the person's ALTERNATE phone numbers and current, geocoded addresses. Requires the end user's consent: ask the user to open the consent link in portal.outris.com/mcp and pass the consent_token they receive. Best for: debt collection, locating a person. Never fabricate consent.\n\nCost: 3 credits",
      "inputSchema": {
        "properties": {
          "consent": {
            "description": "Deprecated legacy consent flag ('Y'); accepted only during migration.",
            "type": "string"
          },
          "consent_token": {
            "description": "Server-issued consent token from portal.outris.com/mcp (preferred).",
            "type": "string"
          },
          "phone": {
            "description": "Indian mobile number (10-digit, with or without +91).",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "find_contacts",
      "outputSchema": null
    },
    {
      "description": "\n**What it does:** Finds physical addresses associated with a phone number.\n**Input:** Phone number.\n**Returns:** List of addresses with metadata (e.g., \"shipping\", \"billing\", \"home\") and dates.\n**Best for:** Fraud investigation, delivery verification, and location analysis.\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "phone": {
            "description": "Phone number",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "get_address",
      "outputSchema": null
    },
    {
      "description": "Get other phone numbers belonging to the same person.\n\nReturns: List of alternate phone numbers linked through shared identities\n(same name, email, or address).\n\nUse when: User wants to find all phones associated with a person.\n\nExample queries:\n- \"What other phones does this person have?\"\n- \"Find alternate numbers for 9876543210\"\n- \"Are there other phones linked to this one?\"\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "phone": {
            "description": "Phone number",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "get_alternate_phones",
      "outputSchema": null
    },
    {
      "description": "\n**What it does:** Finds email addresses linked to a phone number.\n**Input:** Phone number.\n**Returns:** List of email addresses with confidence scores.\n**Best for:** Digital footprint analysis, finding contact details, or cross-referencing identities.\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "phone": {
            "description": "Phone number",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "get_email",
      "outputSchema": null
    },
    {
      "description": "\n**What it does:** Comprehensive identity report. Fetches names, emails, addresses, metadata, and risk scores in one go .\n**Input:** Phone number.\n**Returns:** Complete JSON profile containing all linked entities.\n**Best for:** Deep investigations where you need the \"full picture\" immediately. Understand if similar names, addresses appear, then that gives more confidence\n\nCost: 3 credits",
      "inputSchema": {
        "properties": {
          "phone": {
            "description": "Phone number",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "get_identity_profile",
      "outputSchema": null
    },
    {
      "description": "\n**What it does:** identifying the owner name of a phone number.\n**Input:** Phone number (with or without country code).\n**Returns:** List of full names linked to this phone with confidence scores.\n**Best for:** KYC verification, caller ID, finding out \"who called me\".\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "phone": {
            "description": "Phone number",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "get_name",
      "outputSchema": null
    },
    {
      "description": "Trace the person behind an email address — linked names, phone numbers, addresses, and known data breaches. Best for: reverse email lookup, digital footprint, cross-referencing an identity.\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "email": {
            "description": "Email address to investigate.",
            "type": "string"
          }
        },
        "required": [
          "email"
        ],
        "type": "object"
      },
      "name": "investigate_email",
      "outputSchema": null
    },
    {
      "description": "Investigate an Indian mobile number and return who is behind it — name(s), addresses, alternate phone numbers, and social/digital footprint. Use depth='basic' for a fast identity bundle (default) or depth='full' for a comprehensive multi-source investigation (slower). Best for: 'who owns this number', caller ID, KYC, skip-tracing.\n\nCost: 3 credits",
      "inputSchema": {
        "properties": {
          "depth": {
            "description": "basic = fast identity bundle (default); full = comprehensive investigation (slower).",
            "enum": [
              "basic",
              "full"
            ],
            "type": "string"
          },
          "phone": {
            "description": "Indian mobile number (10-digit, with or without +91).",
            "type": "string"
          }
        },
        "required": [
          "phone"
        ],
        "type": "object"
      },
      "name": "investigate_phone",
      "outputSchema": null
    },
    {
      "description": "Look up GST registration details for a business by its GSTIN (15-character GST number). Returns legal/trade name, status, registration type, and address. Best for: GST verification, vendor onboarding.\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "gstin": {
            "description": "15-character GSTIN.",
            "type": "string"
          }
        },
        "required": [
          "gstin"
        ],
        "type": "object"
      },
      "name": "lookup_gst",
      "outputSchema": null
    },
    {
      "description": "Look up an Indian vehicle by its RC (registration) number — returns make/model, registration details, and the registered owner. Best for: vehicle verification, RC checks.\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "rc_number": {
            "description": "Vehicle registration number (e.g. MH12AB1234).",
            "type": "string"
          }
        },
        "required": [
          "rc_number"
        ],
        "type": "object"
      },
      "name": "lookup_vehicle",
      "outputSchema": null
    },
    {
      "description": "Resolve an Indian company from its NAME and return its CIN (Corporate Identification Number) plus any GSTIN / MSME registrations discovered along the way. Best for: 'is this a real company', KYB entry point, finding a CIN from a company name.\n\nCost: 3 credits",
      "inputSchema": {
        "properties": {
          "company_name": {
            "description": "Company name to resolve.",
            "type": "string"
          }
        },
        "required": [
          "company_name"
        ],
        "type": "object"
      },
      "name": "resolve_company",
      "outputSchema": null
    },
    {
      "description": "Answer any other identity / KYC / business question when no specific tool fits. Provide a natural-language `question` plus the `identifiers` you already have (phone, email, PAN, GSTIN, CIN, DIN, UAN, IFSC, vehicle RC, UPI VPA, UDIN, or a company name). It figures out the right lookup — or a short sequence — and returns the answer. Only pass identifiers the user actually gave you; never invent one. For consent-required lookups, ask the user to open the consent link in portal.outris.com/mcp and pass the consent_token they receive.\n\nCost: 3 credits",
      "inputSchema": {
        "properties": {
          "consent": {
            "description": "Deprecated legacy consent flag ('Y'); accepted only during migration. Prefer consent_token.",
            "type": "string"
          },
          "consent_token": {
            "description": "Server-issued consent token from portal.outris.com/mcp (preferred for consent-required lookups).",
            "type": "string"
          },
          "identifiers": {
            "description": "Identifiers you have, as {type: value} — e.g. {\"pan\": \"ABCDE1234F\"} or {\"phone\": \"9876543210\"}. Only include values the user provided.",
            "type": "object"
          },
          "question": {
            "description": "The user's question in plain language.",
            "type": "string"
          }
        },
        "required": [
          "question",
          "identifiers"
        ],
        "type": "object"
      },
      "name": "smart_lookup",
      "outputSchema": null
    },
    {
      "description": "Validate an Indian bank account WITHOUT moving any money (no-debit NPCI validation) and return whether it is valid plus the account holder's name for matching. Best for: payout/beneficiary verification. This does NOT transfer funds.\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "account_number": {
            "description": "Bank account number to validate.",
            "type": "string"
          },
          "ifsc": {
            "description": "IFSC code of the account's branch.",
            "type": "string"
          }
        },
        "required": [
          "account_number",
          "ifsc"
        ],
        "type": "object"
      },
      "name": "verify_bank_account",
      "outputSchema": null
    },
    {
      "description": "Verify an Indian PAN (Permanent Account Number) and return the holder's name, status, and PAN type (individual / company / etc.). Best for: KYC, PAN validity checks.\n\nCost: 2 credits",
      "inputSchema": {
        "properties": {
          "pan": {
            "description": "10-character PAN (e.g. ABCDE1234F).",
            "type": "string"
          }
        },
        "required": [
          "pan"
        ],
        "type": "object"
      },
      "name": "verify_pan",
      "outputSchema": null
    }
  ]
}

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