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SEARCH / EVALUATION / EVIDENCE

The web, evaluated.

Arlong is a search engine for humans and AI agents. People get useful link evaluations and cited overviews. Agents get structured evidence with trust and threat analysis.

Featured onFeatured on MaidensailArlong Search AI - Innovating the Search for AI Agents and Humans | Product Hunt
RESULT SPECIMEN / 01SCREENED
What are Vertex AI quota limits?
Vertex AI quotas and limits0.95

Official quota reference covering project, model, region, request, and token limits.

OFFICIALNO THREATSCITED
Generative AI quota reference0.91

Supporting documentation for capacity planning and quota adjustment.

OFFICIALCORROBORATES
0AI passes in quick search
20sources available to deep search
1–3credits per research operation
2auth modes: OAuth and bearer
01 / PRODUCT

Built for the reader and the system.

The retrieval layer stays consistent. The interface changes depending on whether a person needs to understand the research or an agent needs to process it.

HUMAN INTERFACE

Know why a link deserves attention.

Results include concise evaluations, source context, threat signals, and a cited overview. You can inspect the evidence instead of trusting a generated paragraph blindly.

  • AI Link EvaluationsPER RESULT
  • Cited overviewTRACEABLE
  • Source and threat contextVISIBLE
AGENT INTERFACE

Give models evidence, not page instructions.

Arlong returns predictable records with relevance, reputation, corroboration, and threat metadata. Content classified as blocked is withheld from downstream context.

  • Structured responseJSON / MCP
  • Prompt-injection screeningENABLED
  • Selectable research depth3 MODES
02 / OUTPUT

Readable on one side. Programmable on the other.

Illustrative output using the fields Arlong exposes. Scores vary with the query and source; they are not fixed marketing benchmarks.

HUMAN VIEW

Evaluated links + overview

Vertex AI limits usage across request and token dimensions. The applicable quota depends on model, region, and project configuration. Check project quotas before designing retries and fallback behavior. [1] [2]

AGENT VIEW

Structured evidence record

{
  "rank": 1,
  "title": "Vertex AI quotas and limits",
  "url": "https://cloud.google.com/...",
  "quality_score": 0.93,
  "reputation": {
    "status": "SAFE",
    "trust_score": 97
  },
  "threat_flags": [],
  "ai_evaluation": {
    "relevance_score": 0.95
  }
}
03 / PIPELINE

Each research stage remains inspectable.

Agents can stop after retrieval or select deeper analysis only when needed. Timing metadata exposes where the work happened.

RESEARCH PIPELINESTAGES / 05
01

RETRIEVE

Find candidate sources.

02

EXTRACT

Read selected pages in parallel.

03

RANK

Measure query relevance.

04

SCREEN

Detect unsafe source content.

05

CORROBORATE

Group supporting claims.

04 / MODES

Use only the depth the task needs.

Three explicit tools avoid forcing generation and long page content into every agent request.

FAST ROUTING

arlong_quick

Plain links. No AI evaluation or content extraction.

0 AI PASSES1 CREDIT
STANDARD RESEARCH

arlong_search

Ranked results with previews, trust signals, and threat analysis.

STRUCTURED1 CREDIT
DEEP EVIDENCE

arlong_deep

Parallel extraction, semantic analysis, and corroboration.

UP TO 20 SOURCES2 CREDITS
05 / MEMBERSHIP

One subscription. Every Arlong interface.

Founder access starts at ₹289 while seats remain. Pro is ₹499 monthly or ₹5,000 annually, available globally through secure checkout.

Membership

Founder₹289 / MONTH
Pro₹499 / MONTH
Pro Annual₹5,000 / YEAR
AuthenticationOAUTH + BEARER

Included with Pro

2,000

API and MCP credits, plus 300 standard answers and 25 deep-research answers per billing period.

View memberships ↗

Using ChatGPT or Codex?

Install the connection directly, or configure OAuth and bearer access from the dashboard.

Add Arlong plugin ↗
READY FOR MCP

Give your agent a better way to read the web.