Verdicts: what a photo verification returns

Status

pending → partially_captured → completed | expired | failed

completed means the verdict is in. expired means nobody finished the capture in time.

Verdict

{
  "verdict": { "rial": false, "signals": ["screen_detected"] }
}

Field	Meaning
`rial`	`true` when no check tripped. Branch on this.
`signals`	The checks that tripped: `screen_detected`, `ai_detected`, `found_online`. Empty when `rial` is `true`.

Which checks run

Rial picks them from what you send. On an audit you can narrow them with checks — see Only AI detection.

When	It answers	It reports
Always, on every photo	Is this a photo of a screen? Does it look AI-generated?	`screen_detected`, `ai_detected`
On an audit	Is this image already online?	`found_online`
When you describe the photo (`expected_object`, `context`)	Does it show that?	`object_match`, `context_match`
When you send `condition_aspects`	In what condition?	`condition`
When you send `expected_location`	Was it taken there?	`location_match`

Extra checks

Each one is switched on by a field at creation and comes back next to the verdict, never inside it.

You send	You get back
`expected_object: "2021 Toyota Corolla"`	`object_match: { status: "match" \| "mismatch" \| "inconclusive" }`
`expected_location: "Av. Córdoba 5635, Buenos Aires"`	`location_match: { status: "verified" \| "no_match" \| "ungeocoded", distance_m }`
`condition_aspects: ["paint", "tires"]`	`condition: { score: 7.8, label: "good", aspects: [...] }`

Set expected_object or condition_aspects on an image step instead of the whole verification and the result comes back per step: object_matches.<key> and condition.steps.<key>, with the overall object_match and condition summarizing them.

Live capture vs audit

A verification is a photo taken live, right now, through the link or an SDK. Its verdict is backed by the device. An audit ("mode": "audit") analyses a photo you already have. No device stood behind it, so there is no rial: the verdict lists the checks that tripped, with a confidence where the model gives one, for you to weigh.

{
  "verdict": { "signals": [{ "type": "ai_detected", "confidence": 0.81 }] }
}

How to run one: Audits.

Start

Results

Verdicts

Status

Verdict

Which checks run

Extra checks

Live capture vs audit

​Status

​Verdict

​Which checks run

​Extra checks

​Live capture vs audit

Status

Verdict

Which checks run

Extra checks

Live capture vs audit