A Hive alternative with credits for each kind of content.

What Hive says about price and access

From Hive’s pricing page and documentation, as read on 17 October 2026. In Hive’s docs, V3 is the self-serve API and V2 the Enterprise API. Detectivision is not affiliated with Hive.

The pricing page lists per-request prices and the docs say when a contract is needed, so read both before you plan a budget.

What Hive checks, and what comes back

From Hive’s documentation, as read on 17 October 2026.

When Hive fits

Hive’s own pages show what it offers. These are the cases where that list decides it.

• You need its range of models

  Hive publishes visual moderation with many classes, text moderation, speech moderation, OCR moderation, CSAM detection with Thorn, and detection of AI-generated images, video and audio.

• You moderate text in many languages

  Hive’s table lists about 30 languages for text moderation, among them Chinese, Dutch, Korean, Japanese, Vietnamese and Polish. Not every class is offered in every language.

• You want the matched words and where they are

  Hive’s pattern matching for profanity and personal information returns the matched text with its start and end index, and you can add filters of your own.

• You want a review dashboard from the same vendor

  Hive Moderation Dashboard has rules, review feeds, appeals and custom actions that call your server. You request access from Hive.

• You want to set how long data is kept

  Hive keeps customer data for 14 days by default and can change that on request, down to no retention. Longer retention may cost extra.

• You buy through a contract and an account manager

  Hive’s Enterprise plan has custom pricing, premium support and multi-region support for high-volume deployments.

• You sign in through your identity provider

  Hive’s docs describe single sign-on through Okta, Amazon IAM Identity Center and PingOne.

When Detectivision fits

What Detectivision documents, point by point. The tables show Hive’s side of each.

• Credits for each kind of content →

  Plans start at $49 a month, with a free trial on Basic. Credits come per kind of content, and a check uses the credits of its own kind. Pro and Enterprise are arranged through Contact us.

• One API for text, images, video, audio and live streams →

  Text, image, video and audio checks go to one endpoint with the kind of content in "type", and live streams run as sessions with the same key. Each kind has its own credit balance, and an invalid request costs nothing.

• Speech moderation in ten languages →

  Detectivision’s audio moderation understands English, Spanish, Portuguese, French, German, Italian, Turkish, Arabic, Russian and Hindi. In capture mode, the default, each finding comes with its start and end in seconds.

• Texts up to 10,000 characters →

  A text can be 1 to 10,000 characters long. It costs 1 credit per started 2,500 characters when the result comes by webhook, and twice that when you wait for the answer.

• Results by webhook, for half the credits →

  Add "async": true to content that can wait. The API answers 202 with the request’s id and sends the result to your webhook, signed, with your metadata. It costs half the credits of an answer given at once.

• A review screen with your own actions →

  A moderator opens a request in the dashboard’s Logs and takes one of your actions, such as Approve or Ban. Your system gets each one as a moderation.action webhook and carries it out.

• Video and live streams with tracking →

  In capture mode, the default, each finding in a video comes with its second and its box, and censor mode returns a copy with every finding hidden. Tracking follows a finding from frame to frame at no charge. A live session can be set up to 30 frames a second and keeps flagged moments with their picture.

Hive and Detectivision, row by row

Hive from its pricing page and docs, as read on 17 October 2026. Detectivision from its docs and pricing page.

Units differ: Hive charges per request or per minute, Detectivision per credit. Work out a busy month on both price pages before you choose.

Where Hive’s classes go

Hive’s classes as its docs list them on 17 October 2026, next to the Detectivision flags that cover the same ground. GET /api/v1/flags lists the flags of your account. A flag keeps its key.

The table lists the classes that have a matching flag. Hive’s class pages list more; compare them with the list your account gets from GET /api/v1/flags before you move.

A text check, both ways

curl --request POST \
  --url https://api.thehive.ai/api/v2/task/sync \
  --header 'Authorization: Token <API_KEY>' \
  --form 'text_data="You are such an idiot, just shut up."'

curl https://api.detectivision.ai/api/v1/moderation \
  -H "Api-Key: $DETECTIVISION_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "text_moderation",
    "input": "You are such an idiot, just shut up.",
    "mode": "detect"
  }'

The Hive call is the V2 sync call from Hive’s docs; V2 is Hive’s Enterprise API. Hive takes its key as “Authorization: Token” and the text in text_data. Detectivision takes its key in the Api-Key header and the kind of content in type; without flags, every text flag of your account is checked.

An image check, both ways

curl --request POST \
  --url https://api.thehive.ai/api/v2/task/sync \
  --header 'accept: application/json' \
  --header 'authorization: token <API_KEY>' \
  --form 'url=https://example.com/photo.jpg'

curl https://api.detectivision.ai/api/v1/moderation \
  -H "Api-Key: $DETECTIVISION_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "image_moderation",
    "input": "https://example.com/photo.jpg",
    "mode": "detect"
  }'

Both take the image’s address; Hive also takes a file upload. Hive answers with a confidence for each class, Detectivision with the flags raised.

What comes back

The fields Hive’s docs describe, next to the fields of a Detectivision answer (docs: Responses).

At once, or later by webhook

{
  "id": 2210,
  "type": "text_moderation",
  "mode": "detect",
  "status": "completed",
  "flagged": true,
  "flags": [{ "flag": "insult", "confidence": 0.93 }],
  "checked": [
    "bad_habits",
    "hate",
    "insult",
    "profanity",
    "racism",
    "self_harm",
    "sexism",
    "sexual"
  ],
  "unchecked": [],
  "tookMs": 640,
  "usage": { "charged": 2, "remaining": 5126 }
}

curl https://api.detectivision.ai/api/v1/moderation \
  -H "Api-Key: $DETECTIVISION_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "text_moderation",
    "input": "You are such an idiot, just shut up.",
    "mode": "detect",
    "async": true,
    "metadata": { "commentId": "c_981" }
  }'

In Detectivision’s flags, a rude word aimed at someone is an insult; profanity is for swear words. Sent async, the same check costs half: the API answers 202 with the request’s id, and the result comes by webhook with your metadata.

Moving from Hive in five steps

1. List the classes your rules use

   01

   Write down which Hive classes and thresholds decide an action in your code, such as a 0.9 score on a visual class or a level 3 on a text class.

2. Map them to flags →

   02

   Use the table above, then ask GET /api/v1/flags for the flags your account has. A flag keeps its key.

3. Send the same content to both

   03

   Run a sample of your own messages and images through Hive and Detectivision, as separate calls, and compare the answers.

4. Choose your line →

   04

   Start by acting on flagged and the flags raised, then tune: for example, send results with a confidence between 0.5 and 0.7 to human review.

5. Take the results by webhook →

   05

   For content that can wait, send "async": true, verify each webhook’s signature and process each webhook-id once.

• Content moderation APIs compared →

  What each API checks, its languages and its published prices.

• Free content moderation APIs →

  What each vendor gives for free, and its limits.

• Sightengine alternative →

  Its free plan and its operations, set against credits.

• OpenAI Moderation API →

  Its limits, and when a paid API is worth it.

• Amazon Rekognition alternative →

  Rekognition’s moderation labels, mapped one by one.

• Live stream moderation →

  Sessions on a stream link or on camera frames, with moments and tracking.