# Agent V3 — API Documentation

> DIDI Misinformation Detection Platform — Analysis Engine API
>
> Version: 3.0.0

### Base URL

| Access Method | Base URL | Notes |
|---------------|----------|-------|
| **Internal (via nginx proxy)** | `https://localhost:3000/agent-v3` | Through didi-admin nginx container. Self-signed SSL — use `curl -k`. Strips `/agent-v3/` prefix before proxying to agent. |
| **Direct (no proxy)** | `http://localhost:24803` | Directly to agent-v3 container. No SSL, no prefix stripping. |
| **Public domain** | `https://didi365.eu/agent-v3` | **Currently returns 403 Forbidden.** An external reverse proxy at `213.136.83.198` blocks requests before they reach the staging server (`10.11.10.12`). This needs to be resolved at the infrastructure level. |
| **Kong gateway** | `https://localhost:443` | Returns `401 Unauthorized` — Kong enforces JWT validation on this port. Only works with a valid Keycloak JWT. Kong does **not** expose `/api/v3/*` routes — it uses different paths (`/api/analyze`, `/api/pipelines`, etc.) that map to the older agent service interface. |

> **Recommendation:** Use `https://localhost:3000/agent-v3` for testing. All curl examples in this document use this base URL with `-k` to accept the self-signed certificate.

---

## Table of Contents

1. [Authentication](#authentication)
2. [Full Pipeline](#1-full-pipeline)
3. [Manipulation Techniques](#2-manipulation-techniques)
4. [AI-Tampered Detection](#3-ai-tampered-detection)
5. [Claims Verification](#4-claims-verification)
6. [Domain Analysis](#5-domain-analysis)
7. [Polling & Results](#6-polling--results)
8. [Browser Extension API](#7-browser-extension-api)
9. [Error Codes](#error-codes)

---

## Authentication

Pass `user_id` in the request body to identify the user:

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/pipeline/analyze \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Content to analyze",
    "media_type": "text",
    "user_id": "test-user"
  }'
```

If a JWT `Authorization: Bearer` header is present (from Keycloak), the user identity is extracted from the token and takes precedence over `user_id` in the body.

### Credit System

Analysis endpoints check and deduct credits based on `user_id`. If the user's plan has insufficient credits, the API returns `402 Payment Required` with the remaining balance and cost.

> **Staging:** When `STAGING_MODE=true` is set (default in staging), all credit limits are bypassed. Any `user_id` value works without needing actual credits.

---

## 1. Full Pipeline

Runs all detection components sequentially — **Techniques → AI-Tampered → Claims → Domain** (if URL provided) — then produces an aggregated **verdict** with an overall risk score.

This is the primary analysis endpoint. Individual component endpoints (sections 2–5) run only their respective component without producing a verdict.

---

### POST `/api/v3/pipeline/analyze`

Synchronous full analysis. Accepts text, media, or URL input.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Conditional | Text content to analyze |
| `media_url` | string | Conditional | URL of uploaded media file (image only for sync — audio/video require async) |
| `url` | string | Conditional | URL of a webpage to analyze |
| `media_type` | string | Yes | One of: `text`, `url`, `image`, `audio`, `video` |
| `user_email` | string | No | User email (overridden by JWT if present) |
| `options` | object | No | `{ skip_components: string[], scenario: string, topic: string }` |

> **Input rule:** Provide at least one of `text`, `media_url`, or `url`. You can combine them — for example, provide both `text` and `url` to analyze text with domain context.

> **Audio/video note:** Sync analysis of audio and video media is not supported because transcription can take 5–10 minutes. The endpoint returns `400` with `code: "ASYNC_REQUIRED"`. Use `POST /api/v3/pipeline/analyze-async` for audio and video content instead.

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/pipeline/analyze \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Romania'\''s president declared yesterday that the country will leave the European Union by 2025. According to unnamed government sources, this decision was made in secret meetings with Russian officials.",
    "media_type": "text",
    "user_id": "test-user"
  }'
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "session_id": "a63a72ed-de8e-458b-a708-3e80d38f867c",
    "user_id": "test-user",
    "status": "completed",
    "input_type": "text",
    "components_run": ["techniques", "ai_tampered", "claims"],
    "components_skipped": ["domain"],
    "risk_score": 78,
    "risk_category": "UNRELIABLE",
    "risk_level": "VERY_HIGH",
    "confidence": 75,
    "confidence_level": "MEDIUM",
    "total_duration_ms": 50500,
    "techniques": {
      "manipulation_score": 35,
      "techniques_count": 1,
      "dimensions_affected": ["D7"],
      "techniques_detected": [
        {
          "id": 175,
          "name": "temporal.embargo_breaking",
          "dimension": "D7",
          "subdimension": "Event Timing",
          "severity": 50,
          "confidence": 85,
          "evidence": "The announcement was shared widely on social media before any official press conference."
        }
      ],
      "llm_screening": "qwen35:Qwen3.5-397B-A17B",
      "llm_deep": "qwen35:Qwen3.5-397B-A17B",
      "total_duration_ms": 29472
    },
    "ai_tampered": {
      "ai_probability": 83,
      "verdict": "LIKELY_AI",
      "categories_affected": ["T3", "T4"],
      "indicators_count": 7,
      "disclosure_detected": false,
      "indicators_detected": [
        { "id": "T3.1", "name": "Lack of Personal Anecdotes", "confidence": 95 },
        { "id": "T3.2", "name": "Absence of Specific Details", "confidence": 85 },
        { "id": "T3.3", "name": "No Emotional Depth", "confidence": 90 }
      ],
      "total_duration_ms": 43031
    },
    "claims": {
      "total_claims": 4,
      "verified_true": 0,
      "verified_false": 0,
      "unverified": 4,
      "credibility_score": 75,
      "claims_verified": [
        {
          "id": "claim_1",
          "text": "Romania's president declared yesterday that the country will leave the EU by 2025.",
          "type": "RE",
          "type_name": "Recent Event",
          "status": "UV",
          "status_name": "Neverificat",
          "sources": []
        }
      ],
      "total_duration_ms": 43495
    },
    "domain": null,
    "verdict": {
      "risk_score": 78,
      "risk_category": "UNRELIABLE",
      "risk_category_color": "red",
      "risk_level": "VERY_HIGH",
      "severity": "HIGH",
      "recommended_action": "ESCALATE",
      "confidence": 75,
      "score_manipulation": 35,
      "score_claims": 25,
      "score_ai": 83,
      "override_applied": true,
      "override_reason": "Undisclosed AI content (+15%)",
      "explanation_en": "The content is likely AI-generated without disclosure, and the claims lack any verifiable web traces, indicating complete fabrication.",
      "explanation_ro": "Conținutul este generat probabil de inteligența artificială fără dezvăluire, iar afirmațiile nu au nicio sursă verificabilă online.",
      "virality_score": 26,
      "virality_level": "MODERATE"
    }
  }
}
```

---

### POST `/api/v3/pipeline/analyze-url`

Smart URL analysis. Automatically detects the URL type and processes accordingly:

| Detected Type | Platforms | Processing |
|---------------|-----------|------------|
| **Video platform** | YouTube, TikTok, Twitter/X, Instagram, Facebook, Vimeo, Dailymotion, Twitch | Downloads via yt-dlp → transcribes audio → extracts frames → full pipeline |
| **Image** | Direct links ending in `.jpg`, `.jpeg`, `.png`, `.gif`, `.webp`, `.bmp` | Downloads image → OCR via vision model → full pipeline |
| **Article** | All other URLs | Fetches page text (M17 AI extraction with direct fetch fallback) → full pipeline |

> Platform detection is based on URL pattern matching in `detectUrlType()`. For example, any URL containing `youtube.com` or `youtu.be` is classified as a video platform.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `url` | string | Yes | URL to analyze |
| `options` | object | No | Analysis options |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/pipeline/analyze-url \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/news-article",
    "user_id": "test-user"
  }'
```

**Response (200):** Same structure as `/analyze`, with additional `url_metadata`:

```json
{
  "success": true,
  "data": {
    "session_id": "...",
    "risk_score": 45,
    "url_metadata": {
      "original_url": "https://example.com/news-article",
      "detected_type": "article",
      "processed_as": "url"
    },
    "...": "full pipeline result"
  }
}
```

---

### POST `/api/v3/pipeline/analyze-async`

Asynchronous analysis via RabbitMQ. Returns immediately with a session ID. Use the [polling endpoints](#6-polling--results) to track progress and retrieve results.

**This is the required endpoint for audio and video content**, since transcription and video processing can take 5–10 minutes.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Conditional | Text content |
| `media_url` | string | Conditional | Media file URL |
| `url` | string | Conditional | URL to analyze |
| `media_type` | string | Yes | One of: `text`, `url`, `image`, `audio`, `video` |
| `plan_type` | integer | No | Subscription tier 1–6 (affects queue priority). Default: `1` |
| `options` | object | No | Analysis options |

> Provide at least one of `text`, `media_url`, or `url`.

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/pipeline/analyze-async \
  -H "Content-Type: application/json" \
  -d '{
    "media_url": "https://didi365.eu/agent-v3/api/v3/media/file/uploads/user/video.mp4",
    "media_type": "video",
    "user_id": "test-user",
    "plan_type": 2
  }'
```

**Response (202 Accepted):**

```json
{
  "success": true,
  "async": true,
  "data": {
    "session_id": "b7f3a1e2-...",
    "status": "processing",
    "queued_components": ["techniques", "ai_tampered", "claims"],
    "plan_type": 2,
    "poll_url": "/api/v3/pipeline/b7f3a1e2-.../queue-status",
    "result_url": "/api/v3/pipeline/b7f3a1e2-.../result"
  }
}
```

> **Graceful fallback:** If RabbitMQ is unavailable, the request is processed synchronously and returns `200` with `{ "async": false, "data": { ... full result ... } }`.

---

## 2. Manipulation Techniques

Detects manipulation techniques across **166 known patterns** in **8 dimensions**. Uses a 2-phase LLM approach: fast screening followed by deep analysis on flagged content.

Runs only the techniques component — no verdict is produced.

---

### POST `/api/v3/techniques/analyze`

Analyze text for manipulation techniques.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Yes | Text content to analyze |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/techniques/analyze \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Romania'\''s president declared yesterday that the country will leave the European Union by 2025. According to unnamed government sources, this decision was made in secret meetings with Russian officials.",
    "user_id": "test-user"
  }'
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "session_id": "c4d5e6f7-...",
    "status": "completed",
    "components_run": ["techniques"],
    "components_skipped": ["ai_tampered", "claims", "domain", "verdict"],
    "total_duration_ms": 23998,
    "techniques": {
      "manipulation_score": 35,
      "total_severity": 50,
      "dimensions_affected": ["D7"],
      "techniques_count": 1,
      "techniques_detected": [
        {
          "id": 175,
          "name": "temporal.embargo_breaking",
          "dimension": "D7",
          "subdimension": "Event Timing",
          "severity": 50,
          "confidence": 85,
          "intensity": 2,
          "evidence": "The announcement was shared widely on social media before any official press conference."
        }
      ],
      "coupling_context": {
        "for_claims": {
          "has_emotional_manipulation": false,
          "has_logical_fallacies": false,
          "has_source_manipulation": false,
          "manipulation_level": "CRITICAL",
          "top_techniques": ["temporal.embargo_breaking"]
        },
        "for_verdict": {
          "risk_score": 35,
          "dimension_count": 1,
          "severe_technique_count": 1,
          "needs_override_check": true
        }
      },
      "llm_screening": "qwen35:Qwen3.5-397B-A17B",
      "llm_deep": "qwen35:Qwen3.5-397B-A17B",
      "screening_duration_ms": 9521,
      "deep_analysis_duration_ms": 19942,
      "total_duration_ms": 29472,
      "fallbacks_screening": 0,
      "fallbacks_deep": 0
    }
  }
}
```

---

### POST `/api/v3/techniques/analyze-media`

Analyze media for manipulation techniques. The API extracts text first (OCR for images, transcription for audio/video, page fetch for URLs), then runs the techniques analysis on the extracted text.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `media_url` | string | Yes | URL of the media file |
| `media_type` | string | Yes | One of: `image`, `audio`, `video`, `url` |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/techniques/analyze-media \
  -H "Content-Type: application/json" \
  -d '{
    "media_url": "https://didi365.eu/agent-v3/api/v3/media/file/uploads/user/screenshot.png",
    "media_type": "image",
    "user_id": "test-user"
  }'
```

---

### POST `/api/v3/techniques/analyze-async`

Queue-based asynchronous techniques analysis. Same async pattern as the full pipeline.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Conditional | Text content |
| `media_url` | string | Conditional | Media file URL |
| `url` | string | Conditional | URL to fetch and analyze |
| `media_type` | string | No | One of: `text`, `image`, `audio`, `video`, `url` (auto-detected if omitted) |
| `plan_type` | integer | No | Queue priority tier 1–6. Default: `1` |

---

## 3. AI-Tampered Detection

Detects AI-generated content. Uses 2-phase LLM analysis for text and a vision model cascade (local Qwen → Gemini → GPT-4o) for images.

---

### POST `/api/v3/ai-tampered/analyze`

Analyze text for AI-generated content indicators.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Yes | Text content to analyze |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/ai-tampered/analyze \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Romania'\''s president declared yesterday that the country will leave the European Union by 2025. According to unnamed government sources, this decision was made in secret meetings with Russian officials.",
    "user_id": "test-user"
  }'
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "session_id": "d8e9f0a1-...",
    "status": "completed",
    "components_run": ["ai_tampered"],
    "total_duration_ms": 17920,
    "ai_tampered": {
      "ai_probability": 86,
      "verdict": "LIKELY_AI",
      "risk_score": 86,
      "categories_affected": ["T3", "T4"],
      "indicators_count": 6,
      "disclosure_detected": false,
      "indicators_detected": [
        {
          "id": "T3.1",
          "category": "T3",
          "name": "Lack of Personal Anecdotes",
          "confidence": 95,
          "evidence": "The text is written entirely in the third person with no first-person narratives."
        },
        {
          "id": "T3.2",
          "category": "T3",
          "name": "Absence of Specific Details",
          "confidence": 90,
          "evidence": "Critical verifiable facts are missing — 'unnamed government sources', 'secret meetings' without dates or names."
        },
        {
          "id": "T3.3",
          "category": "T3",
          "name": "No Emotional Depth",
          "confidence": 92,
          "evidence": "Tone is purely informational and flat, lacking genuine sentiment."
        },
        {
          "id": "T4.3",
          "category": "T4",
          "name": "Low Burstiness",
          "confidence": 78,
          "evidence": "Uniform sentence structure and length, lacking natural variation."
        },
        {
          "id": "T4.4",
          "category": "T4",
          "name": "Repetitive N-grams",
          "confidence": 65,
          "evidence": "Repetitive passive constructions: 'was made in', 'was shared widely'."
        }
      ],
      "coupling_context": {
        "for_verdict": {
          "ai_risk_score": 86,
          "undisclosed_ai": true,
          "confidence_level": "HIGH",
          "needs_manual_review": true
        }
      },
      "llm_screening": "qwen35:Qwen3.5-397B-A17B",
      "llm_deep": "qwen35:Qwen3.5-397B-A17B",
      "total_duration_ms": 17920,
      "fallbacks_screening": 0,
      "fallbacks_deep": 0,
      "content_type": "text"
    }
  }
}
```

**Verdict scale:**

| Verdict | AI Probability | Meaning |
|---------|---------------|---------|
| `LIKELY_AI` | ≥ 80% | Strong AI-generation indicators |
| `UNCERTAIN` | 50–79% | Mixed signals |
| `POSSIBLY_HUMAN` | 20–49% | Mostly human-written |
| `LIKELY_HUMAN` | < 20% | No significant AI indicators |

---

### POST `/api/v3/ai-tampered/analyze-media`

Analyze media for AI-generated content. Supports image (vision analysis), audio (transcription → text analysis), and video (frames + transcript analysis).

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `media_url` | string | Yes | URL of the media file |
| `media_type` | string | Yes | One of: `image`, `audio`, `video` |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/ai-tampered/analyze-media \
  -H "Content-Type: application/json" \
  -d '{
    "media_url": "https://didi365.eu/agent-v3/api/v3/media/file/uploads/user/photo.jpg",
    "media_type": "image",
    "user_id": "test-user"
  }'
```

---

### POST `/api/v3/ai-tampered/analyze-image`

Quick image-only AI detection via vision model cascade. Lighter response format than `/analyze-media`.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `image_url` | string | Yes | URL of the image to analyze |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/ai-tampered/analyze-image \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://didi365.eu/agent-v3/api/v3/media/file/uploads/user/suspect.jpg",
    "user_id": "test-user"
  }'
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "ai_probability": 75,
    "verdict": "POSSIBLY_AI",
    "indicators": ["overly smooth skin texture", "background artifacts"],
    "evidence": "Image shows characteristic AI generation patterns in skin rendering and background consistency.",
    "model_used": "qwen-vision-local"
  }
}
```

---

### POST `/api/v3/ai-tampered/quick`

Fast heuristic-only screening — **no LLM calls**. Returns instantly. Useful for real-time filtering before committing to a full analysis.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Yes | Text to screen |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/ai-tampered/quick \
  -H "Content-Type: application/json" \
  -d '{"text": "Some text to screen quickly", "user_id": "test-user"}'
```

---

### POST `/api/v3/ai-tampered/analyze-async`

Queue-based asynchronous AI detection. Same async pattern as the full pipeline.

**Parameters:** Same as [techniques/analyze-async](#post-apiv3techniquesanalyze-async).

---

## 4. Claims Verification

Extracts factual claims from content and verifies them against web sources. Pipeline: **LLM extraction → web evidence search → LLM per-claim verification**.

---

### POST `/api/v3/claims/analyze`

Analyze text for factual claims and verify them.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Yes | Text content to analyze |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/claims/analyze \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Romania'\''s president declared yesterday that the country will leave the European Union by 2025. According to unnamed government sources, this decision was made in secret meetings with Russian officials.",
    "user_id": "test-user"
  }'
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "session_id": "e1f2a3b4-...",
    "status": "completed",
    "components_run": ["claims"],
    "total_duration_ms": 17787,
    "claims": {
      "total_claims": 5,
      "verified_true": 0,
      "verified_false": 0,
      "unverified": 5,
      "opinions": 0,
      "credibility_score": 75,
      "interpretation": "Substantial agreement",
      "claims_by_status": { "UV": 5 },
      "claims_by_type": { "RE": 3, "PC": 1, "QA": 1 },
      "claims_verified": [
        {
          "id": "claim_1",
          "text": "Romania's president declared yesterday that the country will leave the EU by 2025.",
          "type": "RE",
          "type_name": "Recent Event",
          "priority": "high",
          "context": "Asserts a specific recent declaration by a head of state.",
          "status": "UV",
          "status_name": "Neverificat",
          "status_color": "gray",
          "confidence": 0,
          "agreement_score": 0,
          "sources": [],
          "reasoning": "No web sources found for verification",
          "verification_method": "N/A"
        },
        {
          "id": "claim_2",
          "text": "Romania will leave the European Union by 2025.",
          "type": "PC",
          "type_name": "Predictive Claim",
          "priority": "high",
          "status": "UV",
          "status_name": "Neverificat",
          "sources": [],
          "reasoning": "No web sources found for verification"
        },
        {
          "id": "claim_3",
          "text": "The decision to leave the EU was made in secret meetings with Russian officials.",
          "type": "RE",
          "type_name": "Recent Event",
          "priority": "high",
          "status": "UV",
          "status_name": "Neverificat",
          "sources": [],
          "reasoning": "No web sources found for verification"
        }
      ],
      "llm_extraction": "qwen35:Qwen3.5-397B-A17B",
      "llm_verification": "unknown",
      "extraction_duration_ms": 34240,
      "verification_duration_ms": 9250,
      "total_duration_ms": 17787,
      "web_searches_made": 0
    }
  }
}
```

**Claim types:**

| Code | Name | Description |
|------|------|-------------|
| `VF` | Verifiable Fact | Objectively checkable statement |
| `RE` | Recent Event | Assertion about a recent occurrence |
| `PC` | Predictive Claim | Future prediction |
| `QA` | Quoted Attribution | Claim attributed to a source |
| `ST` | Statistical | Numeric/statistical claim |
| `OP` | Opinion | Subjective statement |

**Claim statuses:**

| Code | Name | Meaning |
|------|------|---------|
| `VT` | Verified True | Confirmed by web sources |
| `VF` | Verified False | Contradicted by web sources |
| `PT` | Partially True | Mixed evidence |
| `UV` | Unverified | No sources found |
| `OP` | Opinion | Not verifiable |

---

### POST `/api/v3/claims/analyze-media`

Analyze media for claims. Extracts text first (OCR, transcription, URL fetch), then runs claims analysis.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `media_url` | string | Yes | URL of the media file |
| `media_type` | string | Yes | One of: `image`, `audio`, `video`, `url` |

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/claims/analyze-media \
  -H "Content-Type: application/json" \
  -d '{
    "media_url": "https://didi365.eu/agent-v3/api/v3/media/file/uploads/user/recording.mp3",
    "media_type": "audio",
    "user_id": "test-user"
  }'
```

---

### POST `/api/v3/claims/analyze-async`

Queue-based asynchronous claims analysis. Same async pattern as the full pipeline.

**Parameters:** Same as [techniques/analyze-async](#post-apiv3techniquesanalyze-async).

---

## 5. Domain Analysis

Analyzes domain credibility using WHOIS, DNS, SSL, blacklist, and IP intelligence checks. **Does not use LLM** — purely infrastructure-based analysis.

---

### POST `/api/v3/domain/analyze`

Analyze a domain for trustworthiness indicators.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `domain` | string | Conditional | Domain name (e.g., `reuters.com`) |
| `url` | string | Conditional | Full URL — domain is extracted automatically |

> Provide at least one. If both are given, `domain` takes precedence.

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/domain/analyze \
  -H "Content-Type: application/json" \
  -d '{"url": "https://reuters.com", "user_id": "test-user"}'
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "domain": "reuters.com",
    "verdict": "TRUSTED",
    "trust_score": 90,
    "risk_level": "LOW",
    "age": {
      "days": 11977,
      "category": "WELL_ESTABLISHED",
      "created_at": "1993-06-17T00:00:00Z"
    },
    "blacklist": {
      "is_blacklisted": false,
      "reputation_score": 100
    },
    "ssl": {
      "has_ssl": true,
      "is_valid": true,
      "issuer": "CN=Sectigo Public Server Authentication CA OV R40, O=Sectigo Limited, C=GB"
    },
    "ownership": {
      "registrar": "CSC Corporate Domains, Inc.",
      "organization": "Thomson Reuters Enterprise Centre GmbH",
      "country": "CH"
    },
    "red_flags": [],
    "warnings": [],
    "metadata": {
      "duration_ms": 8054
    }
  }
}
```

**Verdict values:**

| Verdict | Meaning |
|---------|---------|
| `TRUSTED` | Established domain, high reputation, no flags |
| `NEUTRAL` | No strong signals either way |
| `SUSPICIOUS` | One red flag or multiple warnings |
| `UNTRUSTED` | Multiple red flags or blacklisted |

**Possible red flags:** `DOMAIN_VERY_NEW`, `BLACKLISTED`, `LOW_REPUTATION`, `NO_SSL`, `INVALID_SSL`, `NO_DNS_RECORDS`, `SUSPICIOUS_DOMAIN`

**Possible warnings:** `DOMAIN_RELATIVELY_NEW`, `MEDIUM_REPUTATION`, `SELF_SIGNED_SSL`, `NO_EMAIL_SECURITY`, `HOSTED_IN_DATACENTER`, `WHOIS_PRIVACY_ENABLED`

---

### POST `/api/v3/domain/analyze-async`

Queue-based asynchronous domain analysis.

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `domain` | string | Conditional | Domain name |
| `url` | string | Conditional | URL (domain extracted) |
| `plan_type` | integer | No | Queue priority tier 1–6. Default: `1` |

---

## 6. Polling & Results

After submitting an async analysis, use these endpoints to track progress and retrieve results.

---

### GET `/api/v3/pipeline/:sessionId/status`

Poll the status of a running or completed analysis.

**Example:**

```bash
curl -sk https://localhost:3000/agent-v3/api/v3/pipeline/a63a72ed-de8e-458b-a708-3e80d38f867c/status \
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "session_id": "a63a72ed-...",
    "status": "completed",
    "components": {
      "domain": { "status": "skipped" },
      "techniques": { "status": "completed" },
      "ai_tampered": { "status": "completed" },
      "claims": { "status": "completed" },
      "verdict": { "status": "completed" }
    },
    "progress": {
      "completed": 4,
      "total": 4,
      "percentage": 100
    }
  }
}
```

**Component status values:** `pending` | `running` | `completed` | `failed` | `skipped`

---

### GET `/api/v3/pipeline/:sessionId/result`

Get the full result of a completed analysis. Returns the complete `AnalysisSession` object (same structure as the `/analyze` response `data`).

Falls back to PostgreSQL if the session has expired from Redis cache.

**Example:**

```bash
curl -sk https://localhost:3000/agent-v3/api/v3/pipeline/a63a72ed-de8e-458b-a708-3e80d38f867c/result \
```

---

### GET `/api/v3/pipeline/:sessionId/component/:name`

Get a single component's result from a completed analysis.

**Path parameter:** `:name` — one of: `techniques`, `ai_tampered`, `claims`, `domain`, `verdict`

**Example:**

```bash
curl -sk https://localhost:3000/agent-v3/api/v3/pipeline/a63a72ed-.../component/verdict \
```

---

### GET `/api/v3/pipeline/:sessionId/queue-status`

Poll progress of an async (RabbitMQ) job. Returns partial results as components complete.

**Example:**

```bash
curl -sk https://localhost:3000/agent-v3/api/v3/pipeline/b7f3a1e2-.../queue-status \
```

**Response (200):**

```json
{
  "success": true,
  "data": {
    "session_id": "b7f3a1e2-...",
    "status": "running",
    "techniques": { "manipulation_score": 35, "..." : "..." },
    "ai_tampered": null,
    "claims": null,
    "_queue": {
      "progress": 33,
      "total_components": 3,
      "completed_components": ["techniques"],
      "elapsed_ms": 25000,
      "plan_type": 2
    }
  }
}
```

---

## 7. Browser Extension API

Separate authentication flow using API keys instead of JWT. Designed for the DIDI browser extension.

---

### POST `/api/v3/pipeline/extension/analyze`

Analyze content using an API key.

**Headers:**

| Header | Required | Description |
|--------|----------|-------------|
| `X-API-Key` | Yes | Extension API key (obtained from the admin dashboard) |
| `Content-Type` | Yes | `application/json` |

**Parameters:**

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `text` | string | Conditional | Text to analyze |
| `image_url` | string | Conditional | Image URL to analyze |
| `url` | string | Conditional | URL to analyze |
| `options` | object | No | `{ skip_components: string[] }` |

> Provide at least one of `text`, `image_url`, or `url`.

**Example:**

```bash
curl -sk -X POST https://localhost:3000/agent-v3/api/v3/pipeline/extension/analyze \
  -H "Content-Type: application/json" \
  -H "X-API-Key: didi_ext_abc123..." \
  -d '{"text": "Content to check for misinformation"}'
```

**Response (200):** Same structure as `/pipeline/analyze`, with an additional `analysis_type` field indicating what was analyzed (`text`, `image`, or `url`).

---

## Error Codes

| HTTP | Code | Description |
|------|------|-------------|
| `400` | `INVALID_TEXT_INPUT` | Text validation failed (too short, too long, invalid encoding) |
| `400` | `ASYNC_REQUIRED` | Audio/video content must use the async endpoint |
| `401` | — | Missing or invalid JWT token / API key |
| `402` | — | Insufficient credits. Response includes `creditsRemained` and `creditCost` |
| `404` | — | Session not found |
| `500` | — | Internal server error |

---

## Rate Limits

Applied by Kong at the gateway level:

| Window | Limit |
|--------|-------|
| Per minute | 100 requests |
| Per hour | 2,000 requests |
| Per day | 10,000 requests |

---

## Timeouts

| Endpoint Type | Timeout |
|---------------|---------|
| Full pipeline (text) | 180 seconds |
| Full pipeline (video) | 660 seconds (11 min) |
| Individual component (text) | 180 seconds |
| Individual component (media) | 300 seconds (5 min) |
| Domain analysis | 90 seconds |