When the answer has to be right.

Certainize turns multi-engine AI + human expert verification into something you can build on: a live Certainty Score, independent model certification, and — new — human-verified ground-truth data to train & verify specialized models — for any team fine-tuning or evaluating a vertical model, frontier labs included. One API. Powered by ReallySolved™.

# Quick start — fetch a brand's Resolution Score
curl -H "Authorization: Bearer YOUR_API_KEY" \
  https://api.certainize.ai/v1/brands/samsung/score

{
  "brand": "samsung",
  "resolution_score": 73,
  "open_truths": 3,
  "last_updated": "2026-05-24T14:22:00Z",
  "resolver_count": 22,
  "status": "active"
}

Everything you can do with Certainize

One capability — multi-engine AI answers, settled by human experts — powers four products. Enterprises verify and certify; support teams catch errors before customers do; AI labs buy the verified data to train on. Pick your path:

The Certainty Score

One number, 0–100, that tells a person — or a system — how far to trust an AI answer. It's built from five weighted sub-scores, so you can act on AI output with a known confidence level instead of a guess.

Who we serve

Why verification pays for itself

Authentication

All API requests require an Authorization header with a Bearer token. API keys are issued when you subscribe via reallysolved.com/enterprise.

Authorization: Bearer ck_live_XXXXXXXXXXXX

curl

curl -H "Authorization: Bearer ck_live_XXXXXXXXXXXX" \
  https://api.certainize.ai/v1/brands/openai/score

Python

import requests

headers = {"Authorization": "Bearer ck_live_XXXXXXXXXXXX"}
r = requests.get(
    "https://api.certainize.ai/v1/brands/openai/score",
    headers=headers
)
data = r.json()
print(data["resolution_score"])

Node.js

const res = await fetch("https://api.certainize.ai/v1/brands/openai/score", {
  headers: { "Authorization": "Bearer ck_live_XXXXXXXXXXXX" }
});
const data = await res.json();
console.log(data.resolution_score);

Endpoints reference

Base URL: https://api.certainize.ai

GET /v1/brands/{brand}

Returns the current Resolution Score and summary metadata for a brand. The brand path parameter is the brand's lowercase slug (e.g. samsung, openai, binance).

{
  "brand": "samsung",
  "display_name": "Samsung",
  "resolution_score": 73,
  "score_band": "moderate",
  "open_truths": 3,
  "resolved_truths": 41,
  "resolver_count": 22,
  "last_updated": "2026-05-24T14:22:00Z",
  "status": "active",
  "embed_badge_url": "https://reallysolved.com/api/embed/brand/samsung.svg"
}

Score bands

GET /v1/brands/{brand}/truths

Returns the list of active Truths filed against a brand. Each Truth represents a specific factual claim that expert Expert Solvers are voting on.

{
  "brand": "openai",
  "truths": [
    {
      "id": "truth_8kxp3n",
      "claim": "OpenAI's GPT-4 safety evals were rushed before launch",
      "status": "open",
      "resolver_votes": 14,
      "consensus_pct": 71,
      "filed_at": "2026-05-10T09:14:00Z"
    }
  ],
  "next_cursor": "eyJpZCI6Ijg...",
  "total": 7
}

GET /v1/score-feed

Returns a chronological list of recent score change events across all brands. Use this endpoint to build monitoring dashboards or trigger alerts on score movements.

{
  "events": [
    {
      "brand": "binance",
      "score_before": 58,
      "score_after": 51,
      "delta": -7,
      "trigger": "truth_resolved",
      "truth_id": "truth_4mzq9w",
      "timestamp": "2026-05-24T13:05:00Z"
    }
  ],
  "total": 1
}

GET /v1/resolvers/{handle}

Returns public profile data for an Expert Solver — a human expert who votes on Truths. The handle is the Expert Solver's public username on reallysolved.com.

{
  "handle": "mkbhd",
  "tier": "Senior Solver",
  "riq": 8420,
  "specializations": ["consumer-tech", "ev"],
  "truths_resolved": 312,
  "accuracy_rate": 0.94,
  "badge_url": "https://reallysolved.com/api/embed/resolver/mkbhd.svg",
  "profile_url": "https://reallysolved.com/r/mkbhd"
}

POST /v1/embed/badge

Generates a badge configuration for programmatic embedding of Resolution Scores into your own UI.

{
  "brand": "samsung",
  "embed_url": "https://reallysolved.com/api/embed/brand/samsung.svg?style=flat&theme=dark",
  "resolution_score": 73,
  "expires_at": "2026-05-24T15:22:00Z"
}

Badge embed endpoints (hosted on reallysolved.com)

HTML embed example

<img src="https://reallysolved.com/api/embed/resolver/mkbhd.svg"
     alt="Expert Solver Badge: mkbhd · Senior Solver">

Model Eval Data — the live Model-Integrity benchmark

A continuously-updated, human-verified benchmark built on factual ground truth — not preference votes or "vibes." Every time leading models disagree, our human Expert Solvers verify the correct answer, leaving a running record of where today's models get it wrong, and what's actually right.

Public preference-leaderboards rank models on which answer feels better. This ranks them on what's verifiably true, case by case, refreshed as the models change — a live integrity signal for teams that ship in domains where a confident hallucination is a liability, not a vibe.

If your team trains, fine-tunes, or evaluates a specialized model — vertical SLM or frontier — this is the ground truth you need to train & verify it, and the data you currently pay human-labeling vendors to produce — except ours is generated organically by real usage, pre-filtered to the hard cases (genuine model disagreement), and verified by domain experts. We call it "Corrections & Results." In your stack it shows up as:

• Evaluation sets — fresh, contamination-resistant, and naturally hard (every item is a real disagreement between leading models).
• Preference / RLHF pairs — verified-correct vs. divergent-incorrect model outputs.
• Hard-negative & error-mode mining — where a specific model fails, sliced by topic.
• Hallucination / factuality labels — asserted-but-resolved-false instances.

Because we run the same prompt across several leading models, the data is cross-model comparative — a signal no single lab can generate from its own traffic alone.

GET /v1/diff-feed Beta

A chronological stream of disagreement events: a prompt, each model's stance, and the human-verified resolution. Content is anonymized; any named-person facts appear only as short attributed quotes. We intend to make it available to approved research partners under agreement.

{
  "events": [
    {
      "diff_id": "diff_9f2c7a",
      "prompt": "Is creatine monohydrate safe for adolescent athletes?",
      "vertical": "health",
      "model_answers": [
        { "model": "model-a", "stance": "not recommended" },
        { "model": "model-b", "stance": "safe at standard doses" },
        { "model": "model-c", "stance": "insufficient evidence" }
      ],
      "disagreement": true,
      "resolution": {
        "verdict": "Safe at standard doses for most adolescents; advise physician consult.",
        "verified_by": "expert_consensus",
        "resolver_count": 4,
        "confidence": 0.86,
        "citations": 2
      },
      "resolved_at": "2026-05-30T17:11:00Z"
    }
  ],
  "total": 1
}

Vertical ground-truth corpora Beta

License a domain-specific corpus of human-verified resolutions — the fuel for fine-tuning or evaluating a specialized model in a field where accuracy and provenance matter (health, law, finance). Specialized models live or die on trustworthiness; this is how you train one to be reliable & prove it — low hallucination, verifiable. Every record carries its verification trail and citations.

Two ways to work with us:

• License the corpus — a de-identified, continuously-updated, provenance-tracked dataset for your vertical.
• Co-build the model — we supply and keep refreshing the ground-truth; you bring the training. Talk to us about exclusivity.

Webhooks

Subscribe to real-time events by registering a webhook URL in your account settings at reallysolved.com/enterprise. Events are sent as HTTP POST requests with a JSON body.

{
  "event": "silence_clock.fired",
  "timestamp": "2026-05-24T16:00:00Z",
  "data": {
    "brand": "binance",
    "grace_period_started": "2026-05-17T16:00:00Z",
    "open_truths": 5,
    "resolution_score": 44,
    "action_required": true
  }
}

{
  "event": "score.changed",
  "timestamp": "2026-05-24T13:05:00Z",
  "data": {
    "brand": "binance",
    "score_before": 58,
    "score_after": 51,
    "delta": -7,
    "trigger": "truth_resolved",
    "truth_id": "truth_4mzq9w"
  }
}

Rate limits

Rate limits are enforced per API key. Exceeding the limit returns HTTP 429 Too Many Requests with a Retry-After header.

For the full rate card and custom volume pricing, see reallysolved.com/enterprise.

Content scope

API responses include brands, products, services, and AI system claims. Expert Solver votes and Truth filings cover commercially and technically verifiable claims.

Changelog

Status

Status page coming soon.

To subscribe to status updates and incident notifications, email status@certainize.ai.