Alternatives to OpenAI Decisions API
Compare OpenAI Decisions API alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to OpenAI Decisions API in 2026. Compare features, ratings, user reviews, pricing, and more from OpenAI Decisions API competitors and alternatives in order to make an informed decision for your business.
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1
ModerateContent
ModerateContent
Trusted across the internet to protect communities against offensive content. With an API that couldn't be easier to integrate into your website, app or platform. Analyze an anime (animated) image and rate it for the appropriateness of it's content for a type of audience - adult, teen, everyone. Tags images with detected labels. Detects names any visible anime characters. Detects copyrights (if any) of image content. Analyze text and return any bad words founds for 27 languages, also returns cleaned version of the text. Analyze an image and return the text found in the QRcode. Analyze an image and rate it for the appropriateness of its content for a type of audience - adult, teen, everyone.Starting Price: $0.15 per 1,000 images -
2
Clef
Cloudflare
Clef is a 27B multimodal decision model that turns a state and a schema of typed questions into structured decisions. It can read state information as text, JSON, images, or video and return a probability for every allowed option of every question. The model supports a 65,536-token context window and vision inputs, allowing developers to evaluate both structured application data and visual content in the same decision workflow. Clef supports three typed question formats: noul for estimating the probability that a proposition is true, choice for selecting among predefined options and returning per-option probabilities, and score for evaluating an input against ordered criteria and producing a probability-weighted score. Applications can submit between 1 and 64 questions in a single request, with answers returned under the same question IDs. -
3
Clef-flash
Cloudflare
Clef-flash is a fast 9B multimodal decision model that turns a state and a schema of typed questions into structured decisions. It can read state information as text, JSON, images, or video and returns a probability for every allowed option of every question. The model supports a 24,576-token context window and vision input, allowing developers to evaluate structured application data and visual content within the same workflow. Clef Flash supports three typed question formats: noul for estimating the probability that a proposition is true, choice for selecting among predefined options with per-option probabilities, and score for evaluating an input against ordered criteria and returning a probability-weighted score. Applications can submit from 1 to 64 questions in a single request, with answers returned under the same question IDs. Example uses include deciding whether a support request is urgent, routing it to the correct team, and scoring the severity of customer impact. -
4
Laya AI
Laya AI
Laya AI is an open source family of non-autoregressive System 1 decision models built for fast, typed decisions instead of free-form text generation. Given a state and structured questions, Laya evaluates them in a single forward pass and returns outputs that application code can use directly. It supports three decision types: choice, which selects among named options and returns probabilities; score, which places an input on an ordered rubric such as urgency or severity; and noul, which estimates the probability that a proposition is true. Laya is designed for workloads such as agent and model routing, support ticket triage, guardrails, intent classification, risk and fraud scoring, workflow escalation, RAG filtering, moderation, and phishing detection. It can route requests by department, score urgency, flag refund or churn signals, detect policy or abuse conditions, and escalate uncertain cases to a larger model or human reviewer.Starting Price: Free -
5
Liquid d1
Liquid AI
d1 is Liquid AI’s first decision model, built to answer structured questions about a situation with probabilities rather than generating text. It takes unstructured data such as text, images, or both, along with one or more questions, processes them in a single forward pass, and returns probabilities without generating output tokens. d1 supports three question types: noul for yes-or-no decisions, choice for selecting among labels with a probability for each option, and score for placing an input on an ordered scale using probability-weighted levels. Multiple questions can be evaluated against the same state in one request, making it useful for real-time decision workflows. Liquid AI demonstrates d1 across applications such as filtering support tickets, browsing code repositories, organizing documents into smart folders, operating websites, compacting agent context, inspecting industrial parts, and playing games from screenshots.Starting Price: Free -
6
Microsoft-Decision-1
Microsoft
Microsoft-Decision-1 is a fast decision-scoring model built for structured outputs that software can immediately act on. It is designed for routing, classification, prioritization, verification, and workflow control across applications, agents, and automated systems. The model is post-trained from Qwen3.5-9B for single-pass decision scoring and, when given a fixed set of answer options, returns a calibrated probability for each one. It supports yes/no, multiple-choice, rating, and rubric-based grading of AI responses and agent actions through a structured API. Microsoft evaluated the model across 36 benchmarks covering routing, ranking, long context, multilingual and out-of-distribution tasks, reasoning, and safety, and reports that it achieved the highest accuracy in that comparison while also delivering very low latency. The model is also designed for robustness, with testing focused on keeping decisions stable when prompts are paraphrased.Starting Price: $0.042 per 1M tokens -
7
Jev
TypeSafe AI
Jev is a System One Model from TypeSafe AI designed for fast, structured decision-making inside software and automated workflows. Unlike conventional large language models that generate free-form text token by token, Jev accepts unstructured state and returns predefined type-safe values with calibrated probabilities and confidence scores. The model uses a parallel sampling architecture and a training approach called Reinforcement Learning for Calibrated Decisions, which is optimized for producing reliable probabilistic decisions rather than conversational responses. Jev is intended for tasks such as classification, routing, scoring, extraction, branching logic, verification, guardrails, and other AI-powered workflows where structured outputs can plug directly into application code. TypeSafe reports end-to-end response times ranging from about 70 to 500 milliseconds and says Jev can be substantially faster and more efficient than frontier language models on System One-style workloads.Starting Price: Input: $0.042 / 1M tokens -
8
Perplexity Decider
Perplexity
Perplexity Decider is a 27B decision model fine-tuned from Qwen3.8-27B for structured classification and multimodal decision tasks. Rather than generating unrestricted text, it takes an input state and a typed decision schema, then returns the selected result together with calibrated probabilities. The model supports choice decisions for selecting among predefined categories and noul decisions for estimating the probability of a yes-or-no condition. It can also accept images alongside text, allowing applications to make decisions from screenshots or other visual inputs. Example workflows include routing a support request to billing, technical support, or sales, and estimating whether a message expresses urgency. Perplexity reports an overall accuracy of 85.71% across 11 benchmarks, including FinancialPhraseBank, RAGTruth, JudgeBench, TabFact, ContractNLI, Circa, Belebele, and TruthfulQA binary.Starting Price: Free -
9
Perplexity Decisions API
Perplexity
Perplexity’s Decisions API is built for fast, structured decisions that software can use directly. Instead of generating free-form text, it reads natural-language text, JSON, or images as shared state and returns typed answers with probabilities. Developers can attach one or more named questions to the same input and choose among three question types. noul handles yes-or-no judgments and returns the probability of yes from 0 to 1. choice selects from developer-defined options and returns the most likely option, the probability of every option, and a confidence score. score evaluates content against an ordered rubric and returns a probability-weighted score, the full probability distribution, and confidence. The API is designed for tasks such as classification, routing, grading against a rubric, severity assessment, sentiment analysis, or any decision that can be compared against a threshold. -
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Solar Decide
Upstage
Solar Decide is Upstage’s structured decision model, serving as a System One endpoint on Solar Mini 4. Instead of generating prose, it takes a state together with one or more typed questions and returns a choice, score, or yes/no answer with calibrated probabilities taken directly from the model. Each question is handled in a single forward pass, making the model suited to fast classification, routing, policy checks, prioritization, and other structured decision tasks. The choice type selects among predefined options and returns the selected option, individual probabilities, and confidence. The score type evaluates an input against ordered criteria and returns a probability-weighted score, legend, probability distribution, and confidence. The noul type returns the probability that a yes-or-no proposition is true. Multiple questions can share the same state in one request, and the state can be provided as text or any JSON value serialized into the prompt.Starting Price: $0.1 per 1M tokens -
11
Span-01
Respan
Span-01 is a hyper-parallel reasoning classifier built to detect complex behaviors across long production traces in a single forward pass. Rather than generating tokens sequentially, it reasons over natural-language behavior definitions and returns direct probabilities for present, absent, and not_observable. The model is trained for general classification reasoning with RLAIF before being specialized for behavior detection, allowing it to apply previously unseen definitions to new behaviors and domains instead of relying on a fixed taxonomy. At inference time, hyper-parallel definition branches evaluate multiple behaviors against the same trace context simultaneously, while hybrid attention helps preserve reasoning over long, complex inputs. Span-01 is designed for production monitoring across safety, reliability, grounding, agent behavior, and response quality, including jailbreak and prompt injection detection, privacy, and secrets.Starting Price: $199 per month -
12
Strands Decider
Strands Labs
Strands Decider is a small, fast decision model, or System One model, built for agentic AI workflows. Unlike an LLM that generates arbitrary text, it chooses between predefined options, answers yes-or-no questions, or rates inputs on an ordered scale. Each decision includes calibrated confidence, making it possible to send uncertain cases to a larger model or a human while handling routine decisions quickly. The first model in the family, strands-decider-2B, has 1.9 billion parameters and is based on a Qwen3.5-2B-Base torso with its language-modeling head replaced by a lightweight pointer head. It evaluates answers in one forward pass without text generation or a decoding loop. Supported decision types include choice, noul for probability-of-true questions, and score for ordered scales. The model is designed for tasks such as model routing, tool selection, tool-argument checking, request triage, grounding and safety guardrails, policy classification, and low-cost evaluation.Starting Price: Free -
13
SubQ Snap
Subquadratic
SubQ Snap is a long-context decision model for enterprise and agentic workflows, built to make structured decisions quickly over large amounts of information. It handles tasks such as choosing which files are relevant, selecting the next tool, checking whether a result passes, deciding whether a workflow should continue, and determining when a frontier model is needed. Instead of generating open-ended text, Snap takes context, a question, and a finite set of allowed answers, then returns a probability distribution over those answers. It supports up to 384K tokens of mixed text and image context, allowing it to reason over codebases, contracts, interaction histories, logs, screenshots, charts, diagrams, and scanned pages in a single call. Powered by Subquadratic Sparse Attention, Snap reduces the cost of reading long inputs while a decision head maps contextual representations directly to admissible answers without autoregressive generation.Starting Price: $0.05 per million input tokens -
14
Tev1
Together AI
Tev1 is a fast decision and classification model built by Together AI and fine-tuned from Qwen3.5 4B. It is designed around a simple interface: provide a piece of state, a question, and 2 to 24 labeled options, and the model returns exactly one letter that software can map back to a semantic key. This structure supports production tasks such as routing support tickets, evaluating automated returns, applying policy rules, rating sentiment, categorizing documents, and inserting deterministic decision points into larger agent pipelines. The model has 4.7B parameters, a 32.8K-token context window, and runs with non-thinking generation for fast, predictable classification. It was trained on 37,840 examples spanning intent detection, boolean comprehension, sentiment, policy application, routing, news categories, and research-paper taxonomy. Recommended settings use temperature 0 and a very small output budget so responses remain stable and easy to parse.Starting Price: $0.04 per 1M tokens -
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DecisionsApi
DecisionsApi
DecisionsApi is a developer-focused AI platform for testing decision models in an online playground and integrating them through an API. Developers provide text, JSON objects, or arrays of text as state, define typed Choice, Score, or Noul (yes/no) questions, and receive structured answers with probabilities, confidence, usage, and request details. The platform supports customer-request routing, agent next-step selection, evidence checks, safety gates, and human-review workflows, with API key management, usage history, and one shared credit balance across the playground and API.Starting Price: $10 -
16
Shieldstral
Mistral AI
Shieldstral is a 3B open-weights, policy-adaptive multimodal safety classifier designed to evaluate text, images, and text-plus-image content using policies defined at inference time. Instead of relying on a fixed taxonomy of harm categories, it frames moderation as a binary question-answering task: users provide an instruction describing the evaluation context and strictness, a yes-or-no safety question, and the content to judge. The model reads the “yes” and “no” logits and converts them into a continuous, calibrated safety score, allowing applications to threshold or rank results by confidence rather than depend on a single discrete label. This formulation unifies prompt classification, response moderation, refusal detection, toxicity detection, and multimodal safety in one interface, while letting teams adapt policies without retraining the model. Shieldstral can evaluate prompts, responses, prompt-response pairs, images, and images with accompanying text. -
17
CVideo
Arca24
CVideo is a Video-Recruiting platform to record on-demand video interviews by Arca24, designed to make the process of selection and evaluation of candidates and employees more effective and simple. Gain more insight on candidates in a fraction of the time by having candidates self-record video answers to your interview questions: - Create text or video based questions - Limit think time - Define a Barrier threshold - Allow CV uploading - Send the request to multiple candidates - Evaluate the video or write a comment - Share the video with colleagues You can send the request to multiple candidates, evaluate and share the video interviews with your colleagues. It's accessible from all devices and available in 6 languages. CVideo could be integrated with: - Automatic transcription of videos (the system is able to automatically identify the spoken language and return a real-time transcription of the text); - SMS notifications for candidates updating them.Starting Price: 109€ for 10 credit -
18
Simsurveys
Simsurveys
Simsurveys is an AI-powered synthetic survey and market research platform that generates research-grade synthetic survey data and panels in minutes rather than weeks by using AI models trained on real population studies to produce respondent-level datasets with realistic demographic, behavioral, and attitudinal patterns. It lets users build sophisticated questionnaires with quotas and logic, generate large synthetic respondent samples instantly, and export respondent-level files for analysis, eliminating the traditional need to recruit real participants or stitch together multiple tools. Simsurveys includes synthetic data generation from scratch, expanded data to boost sample sizes and fill demographic gaps, and real-time preference queries via an API that returns probability-weighted distributions for consumer insights on demand, and it also supports AI-moderated qualitative sessions that blend quantitative and qualitative research methods.Starting Price: $1,000 per research study -
19
STATUS 5
Eclipse Scientific
STATUS 5 is a user-friendly software tool designed to assess the efficiency and reliability of non-destructive testing techniques and evaluate operator performance. It enables technicians, even those with limited statistical knowledge, to generate Probability of Detection (POD) curves, optimization plots, and summary tables through statistical analysis of imported data. The software supports various statistical models and offers an automated model recommendation based on the most efficient POD curve derived from the user's data. STATUS 5 includes noise study and threshold optimization tools to adjust POD model inputs based on inspection system properties, as well as sizing accuracy and optimization tools to calculate flaw sizing capabilities and provide guidance for optimizing calibration curves. The interface allows for quick importing and exporting of Excel documents or manual data entry.Starting Price: $8,300 one-time payment -
20
TruLens
TruLens
TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help identify failure modes and systematically iterate to improve applications. An easy-to-use interface that allows developers to compare different versions of their applications, facilitating informed decision-making and optimization. TruLens supports various use cases, including question-answering, summarization, retrieval-augmented generation, and agent-based applications.Starting Price: Free -
21
Riskion
Expert Choice
Riskion® is Expert Choice’s risk management tool designed for enterprises that want more than superficial or spreadsheet-based risk tracking. It provides a structured, disciplined process to identify risks, causes, events, and outcomes across the organization, then measure them using mathematically sound, ratio-scale evaluations rather than guesswork. Decision makers can engage stakeholders via collaborative input, crowdsource expertise, and visualize relationships among risk sources, triggers, and treatments. Riskion supports analysis of low and high probability events, scenario comparisons, and optimization of how resources are allocated to mitigate or control risk treatments. Visual models like “bow-tie diagrams” help illustrate risk paths and exposures. Overall, Riskion aims to improve accountability, provide reliable risk estimates, and accelerate decision making by reducing ambiguity and increasing clarity across the enterprise.Starting Price: $6,000/month -
22
OpenAI Moderation
OpenAI
The OpenAI Moderation API provides developers with a dedicated endpoint to automatically evaluate whether text or images contain potentially harmful or policy-violating content, enabling safer AI applications through real-time filtering and classification. It works by analyzing inputs (and optionally outputs) and returning structured results that indicate whether the content is flagged, along with detailed category labels such as hate, harassment, self-harm, sexual content, or violence. It is designed to be integrated directly into application workflows, allowing developers to take immediate action, such as blocking, filtering, or escalating content, before it reaches end users. Moderation models like “omni-moderation-latest” are optimized for speed and accuracy, supporting scalable use across high-volume applications while maintaining consistent safety standards.Starting Price: Free -
23
ModelScope
Alibaba Cloud
This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. The text-to-video generation diffusion model consists of three sub-networks: text feature extraction, text feature-to-video latent space diffusion model, and video latent space to video visual space. The overall model parameters are about 1.7 billion. Support English input. The diffusion model adopts the Unet3D structure, and realizes the function of video generation through the iterative denoising process from the pure Gaussian noise video.Starting Price: Free -
24
EPractize Skill Evaluation Lab
EPractize Labs
Skill Evaluation Lab online exam software can fit into all kinds of assessment including employment, training, performance appraisal, online interview and university exams. The powerful Online Exam Software that tens of thousands of teachers/professionals from Colleges, Universities, Schools, and Corporates have been quietly using for years. The product can evaluate and score results for all Skill Evaluation Lab-type questions except descriptive-type questions where candidates can write answers from the web editor. The descriptive question answers should be evaluated manually by viewing the examinee’s answers. The product solution can completely replace any kind of paper-based exams with web-based exams. No more papers; a small initiative towards saving the environment. It is the most powerful user-friendly test generator, and exam generator educational software available in the academic market at an affordable price.Starting Price: $15 per month -
25
No Cheating Dude
THE AUTOMATION PEOPLE
Free SaaS platform to remotely evaluate and monitor Candidate competency. MCQs, True/False, Ranking, short answer/essay question, fill-in-the-blanks. Mix and Match question types. Both manual and/or automated evaluation options are available. Build your tests in a jiffy. Dip into our ready library. Nurtured and developed by a global community of experts. Get detailed analytic reports. Make informed decisions. Pass/fail data. Highest/lowest scores. Ranking. Average scores. Median values. Section-wise performance data. Create simple/difficult/progressive tests. Search questions based on difficulty levels. Browse, click and select to create tests. With tab change feature, you get alerts if this happens. And the candidate gets a warning! View reports to find out how many times new tabs were opened, when and for how long. Save on invigilation costs. Leverage technology driven proctoring through image and video capturing. -
26
SMTPCart
BEINCART LLC
**MailAudit by SMTPCart** is an email deliverability and diagnostics engine that evaluates message deliverability before campaign deployment. Built to mimic real-world mailbox provider algorithms, MailAudit scores test sends on a weighted 100-point scale: * **Authentication (30%):** Validates SPF, DKIM, DMARC, rDNS, and HELO protocol compliance. * **Spam Filter Testing (25%):** Runs live SpamAssassin simulations to report rule-by-rule score penalties. * **Blocklist Screening (20%):** Monitors sending IPs against 21 IP blocklists and checks domains against Spamhaus DBL, SURBL, and URIBL. * **Content & Layout (15%):** Evaluates text-to-HTML balance, Gmail clipping limits, and List-Unsubscribe compliance. * **Infrastructure Setup (10%):** Verifies TLS encryption, MX records, Return-Path, and hostname consistency.Starting Price: $5 -
27
VerifyAX
Conscium
VerifyAX is an AI agent verification platform designed to help organizations test how autonomous agents behave in real-world scenarios before deployment and while operating in production. It provides verification infrastructure for simulating agent behavior, testing edge cases, observing decision paths, and identifying issues before they affect live systems. Teams connect their agents, models, and tools, define what they want to test, and run simulation-based evaluations against specified criteria. Each run produces audit-grade reporting with scores, transcripts, written explanations, and recommendations. It supports structured inputs including text, images, tables, CSV, Excel, and PDF, with synthetic data generation for controlled stress testing without exposing proprietary data. It can also evaluate an agent’s ability to use enterprise tools such as email, Jira, and Slack, measuring workflow completion, output correctness, process efficiency, and consistency across runs.Starting Price: Free -
28
Spotibo
Spotibo
Find duplicate content on your site, error pages, wrong anchor texts, redirect chains, and much more. For a well-processed SEO analysis, it is very important to get a full view of the entire site, not just one page. Spotibo offers free SEO analysis, up to 500 web pages. Spotibo can check pages as Google, Bing or any other search engine. If you find an “error” in our automatic evaluation, we guarantee it is a 100% error. Potentially serious threats that need to be checked are referred to as “urgent warnings”. There’s no “SEO score” or another inaccurate grading system. Our on-page SEO analysis tool is very precise; it checks the title and meta description in pixels, not in the count of characters (which is less accurate). In addition to providing a warning about the missing alternative text, Spotibo also warns you about ALTs that are probably described wrong. This happens when an alternative text contains only a name such as “image”, “best-picture.jpg” or others.Starting Price: $39.00/month -
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Baidu’s speech technology provides developers with such industry-leading capabilities as speech-to-text,text-to-speech, and speech wake-up. Combining with the NLP technology, it is applicable for several scenarios, including speech input, speech search, video subtitle, audio content analysis, calling center, book broadcasting, news broadcasting, and order broadcasting. It can convert a speech with a duration of fewer than 60 seconds to characters. It is applicable for mobile speech input, intelligent speech interaction, speech commands, and speech search. It can convert the audio stream into characters and return each sentence's start and end times. It is applicable for such scenarios as long-sentence speech input, audio and video subtitles, and meeting records. It can convert the audio files uploaded in batches into characters and return the recognition results within 12 hours. It is applicable for such scenarios as record quality check, and audio content analysis.
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30
Examino
Examino
Examino is an AI-powered essay grading platform that streamlines assessment processes. The software digitizes student papers through smartphone cameras, capturing handwritten and typed assignments, diagrams, equations, and graphs. The AI analyzes responses and generates objective, rubric-based grades while eliminating subjective bias. Supporting over 25 disciplines and 15 grade levels, including math, literature, and sciences, Examino processes diverse formats such as texts, calculations, and drawings. Educators can import PDFs, set scoring criteria, and validate AI-generated answers. The platform offers detailed performance analytics, exports grades to educational systems, and manages unlimited classes and subjects. Class performance overviews help refine teaching methods while ensuring consistent evaluation standards.Starting Price: $6.90/month -
31
Sup AI
Sup AI
Sup AI is a multi-LLM platform that merges outputs from several top large language models, such as GPT, Claude, Llama, and more, to generate richer, more accurate, and better-validated answers than any single model could provide. It applies real-time “logprob confidence scoring,” analyzing each token’s probability to detect uncertainty or hallucination; when a model’s confidence falls below a threshold, the response is halted, helping ensure that delivered answers remain high-quality and trustworthy. Sup’s “multi-model fusion” then compares, contrasts, and consolidates outputs from different models, cross-verifying and synthesizing the best parts into a final result. Sup also supports “multimodal RAG” (retrieval-augmented generation) to incorporate external data (text, PDFs, images) into context-aware responses, giving the AI access to factual sources and helping it “never forget” relevant information.Starting Price: $20 per month -
32
GradeOwl
NeuraConcept
GradeOwl is an AI grading assistant built for Indian schools, helping teachers grade subjective, handwritten exam answers in a fraction of the time. Upload a photo of an answer key and GradeOwl instantly generates a detailed, rubric-based marking scheme — no manual rubric-writing required. Scan student answer sheets and GradeOwl reads handwriting in English and Hindi, matches responses against your rubric, and produces consistent, evidence-backed scores, with full teacher review before anything is finalized. Smart Student ID auto-extracts names and roll numbers from cover pages, cutting manual data entry for large classes. Built specifically for CBSE, ICSE, and State Board evaluation patterns, GradeOwl clusters similar answers together so teachers review and correct at scale instead of paper by paper. The result: faster turnaround on subjective exams, more consistent grading across sections, and clearer insight into where students are actually struggling.Starting Price: $5/user/month -
33
Stipulate
Stipulate Technologies Inc.
Stipulate is a web-based commercial claims evaluation platform for businesses assessing past-due B2B accounts before pursuing collection or litigation. It evaluates account information against claim-related factors, including the governing statute of limitations and jurisdiction, agreement fee-recovery provisions, and debtor classification, and returns an accept, review, or reject outcome with a supporting citation. Users can evaluate accounts individually or upload portfolios using CSV files. The platform is described as mapping columns from aging exports, calculating deadlines by jurisdiction and claim type, and retaining an evaluation history for each account. Results can be downloaded as a scored spreadsheet. Stipulate is intended to help businesses prioritize accounts for further review. -
34
FraudScore
FraudScore
FraudScore is an independent anti-fraud solution developed by a team of ad fraud experts, data scientists and digital marketers. FraudScore is trusted by the industry leaders since 2016 and it works with both mobile and desktop traffic, providing protection against ad fraud in all its forms. Instead of a black-and-white verdict — “fraud” or “not fraud” — FraudScore applies a so-called “fraud score” method. Each install or conversion, channel, traffic source, offer, etc… gets a specific fraud score — an evaluation that shows the probability and severity of ad fraud, with a deep and detailed explanation of fraud patterns found. This unique approach gives clients a reliable way to build strong fraud cases and explain their position for every incident, while also allowing room for negotiations. FraudScore provides full-stack platform for detecting ad fraud on every stage of ad funnel - from prebid requests, impressions and clicks analysis to installs, conversion and events scoring.Starting Price: $290 per month -
35
waiting
Python Software Foundation
waiting is a small library for waiting for stuff to happen. It basically waits for a function to return True, in various modes. Waiting is compatible with flux for simulated timelines. The most basic usage is when you have a function you want to wait for. Waiting forever is very simple. If your predicate returns a value, it will be returned as the result of wait(). A timeout parameter can also be specified. When a timeout expires without the predicate being fulfilled, an exception is thrown. Sleeping polls the predicate at a certain interval (by default 1 second). The interval can be changed with the sleep_seconds argument. When waiting for multiple predicates, waiting provides two simple facilities to help aggregate them, any and all. They resemble Python’s built-in any() and all(), except that they don’t call a predicate once it has been satisfied (this is useful when the predicates are inefficient and take time to complete).Starting Price: Free -
36
Terkel
Terkel
Terkel is a Q&A site that turns questions into articles featuring expert insights. Thought leaders from organizations like Google, Harvard, Airbnb, and more answer questions to get their insights featured in articles published on sites like GoDaddy, Zapier, SCORE, and more. Terkel automatically selects answers based on a variety of factors relating to expertise. The best way to have an answer selected is to stick to what you know best. If you have to Google the question, you should probably hit the "Skip" button. Learn more about how to improve your answers with this helpful blog post about getting started.Starting Price: $99 per month -
37
SmolVLM
Hugging Face
SmolVLM-Instruct is a compact, AI-powered multimodal model that combines the capabilities of vision and language processing, designed to handle tasks like image captioning, visual question answering, and multimodal storytelling. It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.Starting Price: Free -
38
Pithflow
Pithflow
Pithflow is voice-to-text dictation built natively for Windows. Hold a global hotkey (Ctrl+Space), speak, release - Pithflow transcribes, cleans up, and types the finished text into whatever app has focus: Slack, Gmail, VS Code, Word, any browser. No integration, no copy-paste; short clips return in under a second. Because it types at the OS input layer it also works in Citrix, RDP and VDI sessions where app-specific tools fail. AI cleanup adds punctuation and formatting with 8 tones and 6 intent modes; custom snippets, a personal dictionary and specialty term packs (medical, legal, engineering) keep domain vocabulary right. Privacy-first: audio is processed in real time and never stored. 100+ languages with strong Spanish support. Free tier available; Pro $9.99/mo.Starting Price: $9.99/month -
39
Prompeteer.ai
Prompeteer.ai
Prompeteer Contextual Intelligence Platform is a contextual AI platform for A+ agentic prompts and skills. It enables individuals and enterprises to build production-ready prompts and agent skills for ChatGPT, Claude, Gemini, Perplexity, Grok, Meta AI, Copilot, Cursor, Replit, and 140+ AI platforms. Simply type your request in plain language and Prompeteer instantly transforms it into an expert-level prompt—context-powered, quality-scored, and ready to deploy. Features include multimodal prompt creation (text, code, data, image, video, audio), Prompt Score for objective quality evaluation, PromptDrive for saving and organizing prompts, Agent Skills (production-ready SKILL.md files), seamless workflow integrations, and support for 100+ languages. Trusted by tens of thousands of professionals and enterprises in 157 countries. GDPR & CCPA compliant, 100% private, with a free version available.Starting Price: Free / Premium Plans -
40
ArabGPT
ArabGPT
ArabGPT's primary function is to generate human-like text based on the input it receives. Here are some key aspects of what ArabGPT can do: Conversational Interaction: ArabGPT is designed to engage in natural language conversations. Users can input prompts or questions, and the model generates coherent and contextually relevant responses. Answering Questions: You can ask ArabGPT a wide range of questions, and it will attempt to provide informative and contextually appropriate answers based on its training data. Text Completion: If you provide a partial sentence or text, ArabGPT can help complete it by generating the next words or predicting how the sentence might continue. Image Generation: The primary function of ArabGPT is to generate images from textual descriptions. Given a textual prompt, it can create diverse and complex images that match the given description. Content Creation: ArabGPT can be used to generate creative content, such as writing stories -
41
Pony Diffusion
Pony Diffusion
Pony Diffusion is a versatile text-to-image diffusion model designed to generate high-quality, non-photorealistic images across various styles. It offers a user-friendly interface where users simply input descriptive text prompts and the model creates vivid visuals ranging from stylized pony-themed artwork to dynamic fantasy scenes. The fine-tuned model uses a dataset of approximately 80,000 pony-related images to optimize relevance and aesthetic consistency. It incorporates CLIP-based aesthetic ranking to evaluate image quality during training and supports a “scoring” system to guide output quality. The workflow is straightforward; craft a descriptive prompt, run the model, and save or share the generated image. The service clarifies that the model is trained to produce SFW content and is available under an OpenRAIL-M license, thereby allowing users to freely use, redistribute, and modify the outputs subject to certain guidelines.Starting Price: Free -
42
Simaril
Simaril
Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments. -
43
Lenz
Lenz
Lenz is an audit-grade fact-checking API for AI-drafted text, built for teams that need to check factual claims before customers or clients see them. It reads a draft, memo, model answer, or page of copy, extracts the factual statements that can be checked against independent public sources, and returns a result for each. Its workflow follows four API primitives: extract verifiable claims, assess them in bulk with a fast multi-model verdict, escalate uncertain statements to a full verification, and ask follow-up questions grounded in the verification. Full verification runs through a structured five-stage pipeline of framing, research, debate, panel review, and conclusion. Lenz searches public sources, scores evidence for authority, relevance, and recency, has models from multiple vendors argue both sides of a claim, and returns a verdict, confidence score, cited sources, and reasoning trace that users can audit.Starting Price: $7.99 per month -
44
SJolt
SJolt
SJolt is a powerful API platform designed for developers, product teams, and creators to access and utilize state-of-the-art image , video and text generation models. It provides a unified interface for various generation tasks, allowing users to experiment and implement models efficiently. Features of SJolt Model Playground: Test and compare different generation models with API-ready inputs in a user-friendly environment. Cost Comparison: Evaluate the output quality and pricing of various models to make informed decisions. Seamless Integration: Move from testing in the playground to production API calls without changing the request structure. Usage Tracking: Monitor API usage and costs from a single balance, simplifying billing and management. Asynchronous Processing: Handle long-running video generation tasks through async queues, ensuring efficient processing. -
45
Loan Decision
Scorto
Decision flow automation with the ability to design and put in production decision strategies, credit application processing flows, business rules via intuitive drag-n-drop interface. In spite of easy-to-learn interface, any level of flows complexity, any number of steps or sub-strategies, any kind of calculations and risk evaluation models are supported. Application data input, application routing among the participants of decision-making process with the system of specialized web-based workplaces. Loan origination process automation, management, monitoring, and evaluation. Support for “champion-challenger” mode. Custom application forms and entry forms design through the specialized interface. -
46
Evaluator
Midrig
Evaluator helps you to make a structured decision when considering a variety of options against a common set of criteria. For example, selecting a vendor’s product or service based on features, cost, supply, etc. Each option is scored against the criteria, and the results for all the options can then be compared. Each criterion can be weighted based on its relative importance, to adjust its influence on the overall score. Evaluator enables a group of people to participate in the evaluation by recording their individual scores, which are consolidated into an overall scorecard for the group. The results can be viewed in various formats and presented in a report. At any point in time, a baseline can be taken of the scorecard for audit purposes. Scorecard templates can be created from existing evaluation criteria in order to quickly create a new scorecard for evaluating a new set of options based on the same criteria. Specify a weight for each criteria based on their relative importance. -
47
IntelGrader
IntelGrader
IntelGrader is an AI-powered handwritten answer evaluation platform built for teachers, schools, coaching institutes, and publishers. Students write answers on paper, upload photos of their work, and receive structured, rubric-based evaluation with detailed feedback. IntelGrader doesn’t just assign marks — it identifies conceptual gaps, step-wise errors, formula misuse, and process mistakes to help students truly improve. Teachers can upload question papers and marking schemes, then review AI-assisted grading to save hours of manual checking. The platform generates topic-wise insights, class-level analytics, recurring mistake patterns, and student performance tracking — turning grading into actionable intelligence. IntelGrader is especially useful for subjective subjects like Mathematics, Science, and other step-based exams where process evaluation matters as much as the final answer.Starting Price: $0 -
48
RFP.wiki
RFP.wiki
RFP.wiki is a buyer-vendor intelligence workspace for better software and service decisions. - Buyers use it to research markets, compare vendors, launch RFPs, score responses, document rationale, and track contracts, compliance, spend, and renewals after selection. - Vendors use it to claim and improve their public profile, understand how they compare with category peers, review Market Wave analysis, and become easier for buyers to evaluate. Instead of scattered search tabs, inbox pitches, spreadsheets, and missing evidence, RFP.wiki turns vendor research into a structured decision flow: vendor profiles, category pages, alternatives, RFP templates, weighted scoring, supplier response workflows, and decision history. It is built for teams that need clearer shortlists, more defensible vendor choices, and a shared space where buyers and vendors can move from market research to trusted evaluation.Starting Price: $199 -
49
Portfolio backtesting simulates an investment strategy using historical data, allowing you to assess how well a portfolio would have performed in the past while analyzing risk and return. With Portfolio Visualizer, you can create and compare various portfolio models, aligning investments with financial goals. The tool supports portfolio optimization, helping users model the probability of different investment outcomes and understand the impact of risk. It also offers Monte Carlo Simulation to project future portfolio performance under various scenarios. Tactical models provide strategies based on moving averages, momentum, market valuation, and risk management for improved risk-adjusted returns. Designed to empower both individuals and institutions, Portfolio Visualizer turns sophisticated analysis into actionable insights explained by AI through text and video formats.Starting Price: $30 per month
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50
Agent Control
Agent Control
Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.Starting Price: Free
