# Andru Revenue Intelligence — Complete API Reference

> Headless revenue intelligence platform for technical SaaS founders ($500K-$5M ARR).
> 15 MCP tools, 3 MCP resources, 7 A2A skills. Intelligence consumed via MCP Server,
> Chrome Extension, A2A Protocol, and REST API.

---

## Authentication

### Platform API Keys

All API access uses platform API keys. Keys have a prefix for environment detection:

- `sk_live_...` — Production key (real data, real intelligence)
- `sk_test_...` — Test key (sandbox mode)

**Authentication methods:**

```
# Bearer token (preferred)
Authorization: Bearer sk_live_xxxxxxxxxxxx

# X-API-Key header (alternative)
X-API-Key: sk_live_xxxxxxxxxxxx
```

**Rate limits:**
- Tool execution: 50 requests / 15 minutes
- Read operations: 100 requests / 15 minutes
- A2A task submission: 50 requests / 15 minutes

**Scopes:** `icp:read`, `syndication:read`, `syndication:write`, `calendar:read`

---

## MCP Server

### Setup — Claude Desktop

Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):

```json
{
  "mcpServers": {
    "andru-intelligence": {
      "command": "npx",
      "args": ["-y", "mcp-server-andru-intelligence"],
      "env": {
        "ANDRU_API_KEY": "sk_live_xxxxxxxxxxxx"
      }
    }
  }
}
```

### Setup — Claude Code

```bash
claude mcp add andru-intelligence -- npx -y mcp-server-andru-intelligence
```

Set the API key:
```bash
export ANDRU_API_KEY=sk_live_xxxxxxxxxxxx
```

### Cold Start Mode

Most tools support cold start — they work without prior pipeline data. Provide these optional parameters:

- `productDescription`: What your product does and who it's for
- `vertical`: Industry you sell into (e.g., "fintech", "healthcare")
- `targetRole`: Buyer role (e.g., "CFO", "CTO", "VP Sales")

If these aren't provided, tools will ask you for them.

---

## MCP Tools

### get_icp_fit_score

Score a company against ICP criteria across 5 dimensions. No AI calls, instant results.

**Category:** scoring | **Cost:** free | **Latency:** <100ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| companyName | string | no | Company name to evaluate |
| domain | string | no | Company website domain |
| industry | string | no | Industry vertical |
| employeeCount | number | no | Number of employees |
| revenue | string | no | Revenue range (e.g., "$1M-$5M") |
| geography | string | no | HQ location |
| techStack | string[] | no | Technologies the company uses |
| painPoints | string[] | no | Known pain points or challenges |
| triggerEvents | string[] | no | Recent trigger events (e.g., "just raised Series B") |
| productDescription | string | no | What your product does and who it's for (cold start) |
| vertical | string | no | Industry you sell into (cold start) |
| targetRole | string | no | Buyer role being evaluated (cold start) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_icp_fit_score",
    "arguments": {
      "companyName": "Acme Corp",
      "industry": "fintech",
      "employeeCount": 150,
      "revenue": "$5M-$10M",
      "techStack": ["React", "AWS", "PostgreSQL"],
      "productDescription": "API platform for payment orchestration",
      "vertical": "fintech",
      "targetRole": "CTO"
    }
  }'
```

**Example — Python:**

```python
import requests

response = requests.post(
    "https://platform.andru-ai.com/api/mcp/tools/call",
    headers={"Authorization": "Bearer sk_live_xxxxxxxxxxxx"},
    json={
        "tool": "get_icp_fit_score",
        "arguments": {
            "companyName": "Acme Corp",
            "industry": "fintech",
            "employeeCount": 150
        }
    }
)
result = response.json()
```

**Response example:**

```json
{
  "content": [{
    "type": "text",
    "text": "{\"companyName\":\"Acme Corp\",\"totalScore\":78,\"tier\":\"B\",\"breakdown\":{\"firmographics\":{\"score\":85,\"details\":\"Strong industry match\"},\"technographics\":{\"score\":70,\"details\":\"Partial tech overlap\"},\"painPoints\":{\"score\":80,\"details\":\"2 of 3 pain points match\"},\"budgetFit\":{\"score\":65,\"details\":\"Revenue suggests adequate budget\"},\"behavioralSignals\":{\"score\":90,\"details\":\"Recent hiring surge detected\"}},\"recommendation\":\"Good fit — worth pursuing\"}"
  }]
}
```

---

### get_persona_profile

Look up buyer persona with MBTI distribution, pain points, empathy map, and messaging angles.

**Category:** intelligence | **Cost:** free | **Latency:** <50ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| title | string | **yes** | Job title (e.g., "VP Engineering", "CTO", "Head of Sales") |
| industry | string | no | Industry context |
| companySize | string | no | Company size range |
| productDescription | string | no | What your product does (cold start) |
| vertical | string | no | Industry you sell into (cold start) |
| targetRole | string | no | Buyer role being evaluated (cold start) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_persona_profile",
    "arguments": {
      "title": "VP Engineering",
      "industry": "fintech",
      "companySize": "50-200"
    }
  }'
```

**Response example:**

```json
{
  "content": [{
    "type": "text",
    "text": "{\"persona\":{\"title\":\"VP Engineering\",\"archetype\":\"Technical Decision Maker\",\"mbtiDistribution\":{\"INTJ\":35,\"ISTJ\":25,\"ENTJ\":20,\"INTP\":20},\"painPoints\":[\"Technical debt slowing delivery\",\"Scaling engineering team\",\"Build vs buy decisions\"],\"empathyMap\":{\"thinks\":\"Is this technically sound?\",\"feels\":\"Pressure to deliver faster\",\"says\":\"Show me the architecture\",\"does\":\"Evaluates technical documentation first\"},\"messagingAngle\":\"Lead with architecture and integration story, not features\"}}"
  }]
}
```

---

### get_disqualification_signals

3-layer disqualification check: ICP fit + anti-patterns + churn patterns. Returns a 4-tier classification.

**Category:** scoring | **Cost:** free | **Latency:** <200ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| companyName | string | no | Company name |
| industry | string | no | Industry |
| employeeCount | number | no | Number of employees |
| revenue | string | no | Revenue range |
| geography | string | no | Location |
| techStack | string[] | no | Technologies used |
| dealContext | object | no | Current deal context |
| dealContext.dealValue | number | no | Deal value |
| dealContext.stage | string | no | Current deal stage |
| dealContext.daysInPipeline | number | no | Days since deal entered pipeline |
| dealContext.championIdentified | boolean | no | Has a champion been identified? |
| productDescription | string | no | What your product does (cold start) |
| vertical | string | no | Industry you sell into (cold start) |
| targetRole | string | no | Buyer role (cold start) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_disqualification_signals",
    "arguments": {
      "companyName": "SmallCo",
      "employeeCount": 5,
      "revenue": "<$100K",
      "dealContext": { "daysInPipeline": 90, "championIdentified": false }
    }
  }'
```

---

### get_messaging_framework

MBTI-adapted messaging with value props, objection responses, voice variants, and outbound templates.

**Category:** intelligence | **Cost:** free | **Latency:** <50ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| segment | string | no | Target segment or vertical |
| stage | string | no | Buyer journey stage: `awareness`, `consideration`, `decision` |
| channel | string | no | Channel: email, linkedin, phone, etc. |
| personaType | string | no | Target persona title |
| mbtiCategory | string | no | MBTI category: `Analytical`, `Driver`, `Expressive`, `Amiable` |
| productDescription | string | no | What your product does (cold start) |
| vertical | string | no | Industry you sell into (cold start) |
| targetRole | string | no | Buyer role (cold start) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_messaging_framework",
    "arguments": {
      "segment": "fintech",
      "stage": "consideration",
      "channel": "email",
      "personaType": "CTO",
      "mbtiCategory": "Analytical"
    }
  }'
```

---

### get_competitive_positioning

Battlecard for a specific competitor — where you win, where they attack, questions to plant.

**Category:** competitive | **Cost:** free | **Latency:** <100ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| competitorName | string | **yes** | Name of the competitor |
| competitorFeatures | string[] | no | Known competitor features/capabilities |
| context | string | no | Deal context or situation |
| productDescription | string | no | What your product does (cold start) |
| vertical | string | no | Industry you sell into (cold start) |
| targetRole | string | no | Buyer role (cold start) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_competitive_positioning",
    "arguments": {
      "competitorName": "CompetitorX",
      "context": "Enterprise deal, CTO evaluation"
    }
  }'
```

---

### classify_opportunity

Full opportunity classification combining fit scoring, persona matching, disqualification, and risk assessment.

**Category:** scoring | **Cost:** free | **Latency:** <200ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| companyName | string | **yes** | Company name |
| contactTitle | string | no | Primary contact job title |
| industry | string | no | Industry |
| employeeCount | number | no | Number of employees |
| revenue | string | no | Revenue range |
| geography | string | no | Location |
| dealValue | number | no | Estimated deal value |
| dealStage | string | no | Current deal stage |
| techStack | string[] | no | Technologies used |
| painPoints | string[] | no | Known pain points |
| triggerEvents | string[] | no | Trigger events |
| championIdentified | boolean | no | Has a champion been identified? |
| competitorInvolved | string | no | Known competitor in the deal |
| productDescription | string | no | What your product does (cold start) |
| vertical | string | no | Industry you sell into (cold start) |
| targetRole | string | no | Buyer role (cold start) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "classify_opportunity",
    "arguments": {
      "companyName": "LogiTech Solutions",
      "contactTitle": "VP Operations",
      "industry": "logistics",
      "employeeCount": 200,
      "dealValue": 85000
    }
  }'
```

---

### get_account_plan

Structured account plan with stakeholder map, per-person messaging, MEDDICC gaps, and unified story.

**Category:** intelligence | **Cost:** free | **Latency:** <100ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| accountName | string | **yes** | Account/company name |
| domain | string | no | Company website domain |
| industry | string | no | Industry |
| stakeholders | object[] | no | Array of stakeholders (each with name, title, role) |
| dealContext | object | no | Deal context (stage, value, nextMeeting) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_account_plan",
    "arguments": {
      "accountName": "LogiTech Solutions",
      "stakeholders": [
        {"name": "Sarah Chen", "title": "VP Operations", "role": "champion"},
        {"name": "James Liu", "title": "CFO", "role": "economic_buyer"}
      ],
      "dealContext": {"stage": "evaluation", "value": 85000}
    }
  }'
```

---

### get_capability_profile

Machine-readable product capability snapshot for buyer-side agent evaluation.

**Category:** intelligence | **Cost:** free | **Latency:** <50ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| includeOutcomes | boolean | no | Include verified outcomes |
| includeTrustSignals | boolean | no | Include trust signals |
| forceRefresh | boolean | no | Force refresh from pipeline data |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_capability_profile",
    "arguments": {
      "includeOutcomes": true,
      "includeTrustSignals": true
    }
  }'
```

---

### get_evaluation_criteria

6-dimension alignment scoring: pain coverage, outcome clarity, capability fit, and more. Returns 0-100 per dimension.

**Category:** scoring | **Cost:** free | **Latency:** <100ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| buyerPainPoints | string[] | no | Buyer's known pain points |
| buyerIndustry | string | no | Buyer's industry |
| buyerSize | string | no | Buyer's company size |
| requiredCapabilities | string[] | no | Capabilities the buyer requires |
| productDescription | string | no | What your product does (cold start) |
| vertical | string | no | Industry you sell into (cold start) |
| targetRole | string | no | Buyer role (cold start) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_evaluation_criteria",
    "arguments": {
      "buyerPainPoints": ["slow deployment", "compliance risk"],
      "buyerIndustry": "healthcare",
      "requiredCapabilities": ["HIPAA compliance", "SSO", "audit trail"]
    }
  }'
```

---

### get_icp_profile

Full Pure Signal ICP with all 5 intelligence layers, 7 critical buyer questions, and anti-patterns.

**Category:** intelligence | **Cost:** free | **Latency:** <100ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| layers | number[] | no | Filter to specific layers (1-5). Omit for all layers. |
| includeSevenAnswers | boolean | no | Include the 7 critical buyer questions |
| includeAntiPatterns | boolean | no | Include anti-patterns and churn indicators |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_icp_profile",
    "arguments": {
      "layers": [1, 2],
      "includeSevenAnswers": true,
      "includeAntiPatterns": true
    }
  }'
```

---

### discover_prospects

AI-powered web search for companies showing buying signals similar to your best customers.

**Category:** discovery | **Cost:** ai_call | **Latency:** 15-30s | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| companyName | string | **yes** | Your company name |
| productDescription | string | **yes** | What your product does |
| coreCapability | string | no | Core capability to match against |
| industry | string | no | Target industry |
| targetMarket | string | no | Target market description |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "discover_prospects",
    "arguments": {
      "companyName": "Nexus AI",
      "productDescription": "AI-powered data pipeline platform for enterprise",
      "industry": "fintech",
      "targetMarket": "Series A-B SaaS companies with data engineering teams"
    }
  }'
```

---

### get_pre_brief

Pre-call prep with talk track, discovery questions tuned to the buyer, and anticipated objections.

**Category:** intelligence | **Cost:** ai_call | **Latency:** 10-20s | **Scopes:** icp:read, calendar:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| eventId | string | no | Calendar event ID (for calendar-linked briefs) |
| dealId | string | no | Deal ID (for deal-linked briefs) |
| briefType | string | no | Brief type: `general`, `discovery`, `demo`, `negotiation`, `renewal`, `expansion` |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "get_pre_brief",
    "arguments": {
      "eventId": "cal_abc123",
      "briefType": "discovery"
    }
  }'
```

---

### get_syndication_status

Check CRM sync status — shows whether your CRM has current intelligence or stale data.

**Category:** syndication | **Cost:** free | **Latency:** <200ms | **Scopes:** syndication:read

**Parameters:** None required.

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"tool": "get_syndication_status", "arguments": {}}'
```

---

### trigger_syndication

Push latest intelligence into CRM platforms. Detects stale data and updates only what's needed.

**Category:** syndication | **Cost:** free | **Latency:** 5-15s | **Scopes:** syndication:write

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| platforms | string[] | no | Specific platforms to sync (omit for all connected) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "trigger_syndication",
    "arguments": {
      "platforms": ["hubspot"]
    }
  }'
```

---

### batch_fit_score

Score up to 50 companies at once with individual scores and aggregate statistics.

**Category:** scoring | **Cost:** free | **Latency:** <500ms | **Scopes:** icp:read

**Parameters:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| companies | object[] | **yes** | Array of companies (each with companyName, domain, industry, employeeCount, revenue, geography, techStack, painPoints, triggerEvents) |

**Example — curl:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/tools/call \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "batch_fit_score",
    "arguments": {
      "companies": [
        {"companyName": "Acme Corp", "industry": "fintech", "employeeCount": 150},
        {"companyName": "Beta Inc", "industry": "healthcare", "employeeCount": 500},
        {"companyName": "Gamma Ltd", "industry": "fintech", "employeeCount": 30}
      ]
    }
  }'
```

---

## MCP Resources

### andru://icp/profile

Your canonical Pure Signal ICP — all 5 layers of intelligence, 7 critical answers, and anti-patterns.

**MIME type:** application/json

**Read via MCP:** Automatically available when the MCP server is connected. Claude can access it directly.

**Read via REST:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/resources/read \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"uri": "andru://icp/profile"}'
```

---

### andru://pipeline/runs

Your GTM pipeline runs — lists all completed pipeline runs with their stage outputs.

**MIME type:** application/json

**Read via REST:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/resources/read \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"uri": "andru://pipeline/runs"}'
```

---

### andru://accounts

Your account plans — company summaries, tiers, pipeline values, stakeholder counts.

**MIME type:** application/json

**Read via REST:**

```bash
curl -X POST https://platform.andru-ai.com/api/mcp/resources/read \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"uri": "andru://accounts"}'
```

---

## A2A Protocol

### Agent Discovery

```bash
curl https://platform.andru-ai.com/.well-known/agent.json
```

Returns the Andru AgentCard with skills, capabilities, and authentication requirements.

### Task Submission (JSON-RPC 2.0)

```bash
curl -X POST https://platform.andru-ai.com/api/a2a/tasks \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tasks/send",
    "params": {
      "message": {
        "role": "user",
        "parts": [{"type": "text", "text": "Score Acme Corp against our ICP"}]
      }
    },
    "id": "req-1"
  }'
```

### Task Status

```bash
curl https://platform.andru-ai.com/api/a2a/tasks/task-id-here \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx"
```

### Task Streaming (SSE)

```bash
curl -N https://platform.andru-ai.com/api/a2a/tasks/task-id-here/stream \
  -H "Authorization: Bearer sk_live_xxxxxxxxxxxx"
```

Events: `working`, `progress`, `complete`, `error`

### Skills

#### buyer-understanding

ICP qualification, persona profiling, empathy terrain mapping.

**Tags:** icp, persona, qualification, empathy

**Mapped tools:** get_icp_fit_score, get_persona_profile, get_disqualification_signals, get_icp_profile, classify_opportunity, batch_fit_score

**Examples:**
- "Score this company against our ICP"
- "Who is the buyer persona for this deal?"
- "Should we disqualify this opportunity?"

#### tech-to-value-translation

Converts technical capabilities into buyer-language value propositions.

**Tags:** messaging, value-prop, positioning, translation

**Mapped tools:** get_messaging_framework, get_competitive_positioning

**Examples:**
- "How should we position against Competitor X?"
- "What messaging framework fits this persona?"

#### buyer-journey-stages

Maps deals to the buyer's actual purchasing journey.

**Tags:** pipeline, deal-stage, buyer-journey, process

**Mapped tools:** classify_opportunity, get_account_plan

**Examples:**
- "Classify this opportunity"
- "Generate an account plan for this prospect"

#### mutual-champion-selling

Champion identification, development, and coalition building strategy.

**Tags:** champion, stakeholder, relationship, coalition

**Mapped tools:** get_account_plan, get_persona_profile, get_pre_brief

**Examples:**
- "Prepare a pre-meeting brief for this call"
- "Who should be our champion in this deal?"

#### buying-committee-navigation

Multi-threading strategy, stakeholder translation, veto identification.

**Tags:** committee, multi-thread, stakeholder, veto

**Mapped tools:** get_account_plan, get_persona_profile, get_messaging_framework, get_evaluation_criteria

**Examples:**
- "Map the buying committee for this account"
- "What evaluation criteria matter to this buyer?"

#### multi-agent-collaboration

Batch operations for CRM agents and multi-agent workflows.

**Tags:** batch, crm, salesforce, hubspot, multi-agent

**Mapped tools:** batch_fit_score

**Examples:**
- "Score these 20 leads against our ICP"
- "Batch qualify companies from our CRM"

#### customer-value-realization

Post-close outcome engineering, expansion triggers, advocacy generation.

**Tags:** success, retention, expansion, advocacy, nrr

**Mapped tools:** get_disqualification_signals, get_evaluation_criteria, get_capability_profile

**Examples:**
- "What churn signals exist for this account?"
- "Generate a capability profile for buyer evaluation"

---

## REST API Endpoints

### MCP Proxy

| Method | Path | Description |
|--------|------|-------------|
| POST | /api/mcp/tools/list | List all available MCP tools with schemas |
| POST | /api/mcp/tools/call | Execute a tool by name with arguments |
| POST | /api/mcp/resources/list | List available MCP resources |
| POST | /api/mcp/resources/read | Read a resource by URI |

**Tool call body format:**

```json
{
  "tool": "get_icp_fit_score",
  "arguments": {
    "companyName": "Acme Corp",
    "industry": "fintech"
  }
}
```

**Resource read body format:**

```json
{
  "uri": "andru://icp/profile"
}
```

### A2A Protocol

| Method | Path | Description |
|--------|------|-------------|
| GET | /.well-known/agent.json | Agent card discovery (public) |
| POST | /api/a2a/tasks | Submit a new task (JSON-RPC 2.0) |
| GET | /api/a2a/tasks | List tasks for authenticated user |
| GET | /api/a2a/tasks/:taskId | Get task status and result |
| POST | /api/a2a/tasks/:taskId/cancel | Cancel a running task |
| GET | /api/a2a/tasks/:taskId/stream | SSE stream for task updates |

### Platform

| Method | Path | Description |
|--------|------|-------------|
| POST | /api/platform/api-keys | Generate a new API key |
| GET | /api/platform/api-keys | List user's API keys |
| DELETE | /api/platform/api-keys/:id | Revoke an API key |
| GET | /api/health | Platform health check |

---

## Chrome Extension

### LinkedIn Signal Badge

Classifies LinkedIn prospects as Decision Maker, Influencer, or Gatekeeper. Shows confidence score, 2-3 evaluation criteria, and one actionable signal.

### Gmail Tone Check

Analyzes email drafts for B2B positioning and tone. Provides context-aware suggestions based on the recipient's company and role.

### ICP Rater

Scores any company website against your ICP criteria. Shows fit score and tier on any domain.

### Setup

1. Install from Chrome Web Store
2. Generate an extension token in Settings
3. Paste the token in the extension options page