Send work in. Get trustworthy human results back.
50¢ per 100 answers.
An API and web app that puts real people on your work. Upload ten thousand images, transcripts, model outputs, or records; say what a person should do with each one; get back checked, structured answers in minutes. No recruiting, no vendors, no task UI to build.
Say you have 10,000 product photos that need a human to check.
You upload the CSV and write one sentence: Does this photo match its listing? Warpswarm turns it into 10,000 small tasks, each one a photo, a listing, and a yes or no.
Thousands of people take one each.
The tasks go out to the audience you chose, in parallel. Every photo is seen by more than one person, and answers that disagree get more eyes. You picked the confidence level; Warpswarm handles the redundancy.
Minutes later, 10,000 answers. Each with a confidence score.
Reconciled into the shape you asked for: a match flag, a reason, how many people agreed. Into your pipeline, your app, or a file. The 300 that fail are now your problem list, not your backlog.
What people can do for you.
Anything that needs a person to look, decide, or make something. The task type isn't the product; the product is being able to summon people to do it, on demand. A few of the jobs people run:
- Compare
- Two model responses to the same prompt. Which one is better, and why.
- Classify
- Support tickets by intent. Images by whether they contain a person.
- Locate
- The cracked panel in a drone photo. The address on a receipt scan.
- Draw
- A box around every pedestrian. A mask around the tumor.
- Rank
- Six ad variants from most to least convincing. Search results by relevance.
- Validate
- Whether the extracted invoice total is right. Whether a business is still open.
- Evaluate
- Whether a chatbot answer is safe, helpful, and on brand. Score it one to five.
- Collect
- A sentence spoken in a regional dialect. A photo of a stop sign in the rain.
- Correct
- An OCR transcript. A machine translation. A mislabeled record.
Five decisions. Then it's running.
The web app and the API expose the same five inputs. No sales call to explain the project first.
Upload your data
Files, rows, media, or model outputs. Whatever people need to see.
Describe the task
What you need people to do, in plain language.
Choose the audience and confidence level
Who should do the work: the general public, speakers of a language, a region, a domain, or a pool you've vetted. And how sure you need to be: how many people see each task and how much they must agree.
See the exact price
50¢ per 100 answers. You see the total for the whole job before anything runs. No estimates, no invoice surprises.
Launch
First results in minutes. They stream back in the shape you defined, with a confidence score on each one, to a webhook, the API, or a file.
Warpswarm handles distribution, redundancy, quality control, aggregation, and delivery. You never see the machinery.
Why you can trust what comes back.
"Trustworthy" is a mechanism, not a promise. This is the mechanism.
- Every task goes to more than one person.You choose how many. Answers are compared before anything is returned.
- Disagreement buys more eyes.When people don't agree, the task goes back out until it reaches the confidence level you set, or gets flagged for you.
- People are scored continuously.Known-answer tasks are mixed into every job. Contributors who miss them lose weight in the aggregate and eventually lose the work.
- You see the evidence.Each result carries its agreement count and confidence score, so you can filter for the ones worth a second look.
- Your data stays yours.It's shown to contributors only as needed to do the task, and never used to train anything or sold to anyone.
Same job. One screen, or one call.
Press run and watch the whole loop: quote, dispatch, results. This one is simulated so you can see the shape of it without an account.
# one job, thousands of hands job = warpswarm.jobs.create( task="Does this product photo match its listing?", input=upload("listings.csv"), # 10,000 rows output={ "match": bool, "reason": str }, audience="general", confidence="high", ) job.quote # exact price before launch job.launch() for r in job.results(): handle(r)
Human input at scale is slow, expensive, and operationally painful.
Every team that needs it builds the same machinery from scratch, then babysits it. Warpswarm turns that machinery into a utility.
Without Warpswarm
- Recruit and vet workers
- Manage vendors and contracts
- Build and maintain task interfaces
- Explain the project on sales calls
- Monitor quality by hand
- Reconcile inconsistent answers
- Wait days or weeks for results
With Warpswarm
- 1Upload the work
- 2Send it to the swarm
- 3Receive the results
Thousands of humans in the loop, without hiring, managing, or waiting for thousands of humans.
For teams that generate more work than humans can practically review.
- AI and ML teamsPreference pairs for RLHF and DPO. Evals on every checkpoint. Red-team review of outputs before they ship.
- Robotics companiesDid the arm grasp it? Is that a person or a mannequin? Thousands of frames from the field, judged overnight.
- Enterprises building internal AIGround truth for the document extractor. Spot checks on the support bot. Validation no one on the team has time for.
- ResearchersAnnotation for a new dataset. Human ratings for a perception study. Without running a recruitment operation.
- Product and creative teamsFive hundred people rank your three homepage headlines. Results before the meeting ends.
- Data and MLOps teamsIs this a duplicate? Is this address real? Is this category right? At the volume the pipeline produces.
- DevelopersOne function call that returns a human answer. Drop it in the pipeline like any other step.
Questions people ask before they run the first job.
What is Warpswarm, in one sentence?
An API and web app that sends your work to thousands of real people at once, checks their answers against each other, and returns the reconciled results to you in minutes.
Who are the people doing the work?
[WHO: describe the contributor base, how they join, how they're screened, and how they're paid.] You choose the audience per job: the general public, speakers of a language, a region, a domain, or a pool you've vetted yourself.
How fast is it, really?
First results typically arrive within minutes of launch. A full job depends on its size and the confidence level you set. [THROUGHPUT: a real number, e.g. tasks per minute at steady state.]
What does it cost?
50 cents per 100 answers. Ten thousand answers is $50. You see the exact total for the whole job before it runs, and you're never charged for more than that.
What kinds of data can I send?
Images, video, audio, text, documents, map locations, model outputs, and tabular records, uploaded as files or rows or referenced by URL. [DATA: confirm formats and size limits.]
How do you keep the quality up?
Every task goes to more than one person, known-answer tasks are mixed into every job, contributors are scored continuously, and disagreements are re-routed until they reach the confidence you asked for. Each result comes back with its agreement count and confidence score.
Do you use or sell my data?
No. Your data is shown to contributors only as needed to complete the task, is not used to train models, and is not shared or sold. [LEGAL: link the data processing terms.]
Can I run it inside an automated pipeline?
Yes. Create the job from the API, stream results to a webhook or poll for them, and treat it like any other step. The web app and the API expose the same controls.
Put thousands of humans in the loop.
Without hiring, managing, or waiting for thousands of humans. 50¢ per 100 answers.