Distributor excess inventory
Explore overstock lots outside normal distribution channels.
Find a business to explore, or start with a market you already understand.
Open the business finder ↗Beta · AI can make mistakes
Explore these examples while the finder loads.
Explore overstock lots outside normal distribution channels.
Explore a market with model-specific comparisons and a collector base.
Explore short-term storage needs outside standard contracts.
Crawling, collecting data, opportunity lists building and P34 calls are done by your agent.
Every opportunity it found, sized and priced by P34.
Approve, put up the capital, watch the robot work or do the part of the job that still needs a person.
More volume, more markets — robots can work 24/7 and with millions of deals.
Beta The platform is in beta — capabilities, markets and limits are still changing. Monthly access to software, compute and managed services. Built to pursue business outcomes; no profit is promised, and nothing on this page is an earnings forecast. You supply the capital, the accounts and the judgment.
↓ marks the ones worked out as example businesses further down this page. The rest open in the catalogue of 135, where each entry carries its menu shape, data sources and evidence state. A listing is not a claim that a maintained workflow ships for it today.
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Your agent finds and investigates the work.
P34 scores it and refuses bad deals.
You approve, fund it, and do the physical part.
The agent works inside a managed 24/7 workspace with browsers, crawlers, data sources, Python and API access. It keeps collecting while you rest. Sometimes it cannot touch physical objects — that is where real business starts. Sometimes it can, and will run under your supervision.
The market you work in, collect in, or live next to. Your knowledge of which customers return and which jobs are a waste of an afternoon is the input no model has. The gallery below is a set of starting points, not recommendations.
Listings, price history, completed outcomes, supplier terms, shipping costs, buyer behaviour — whatever the market makes lawfully available. This is where most of your tokens go, and it runs unattended.
Not one deal at a time — the whole menu at once, including the options you would have declined. It returns which to take, at what size, with predicted economics, and which to refuse. Refusal is a first-class output, and it is the common one.
The default is that nothing happens without you. Where a workflow supports automation it runs bounded — budgets, caps, logs and a stop control — and you switch it on deliberately.
Test the console, grade the record, pack the box, drive the van, run the machine. Then the outcome goes back into the loop, and the next menu is scored by a model that has seen how the last one actually turned out.
It does the looking. P34 does the choosing. You do the deciding — and the lifting.
Put your AI to work on products people already buy. Your agent helps investigate inventory, compare sale routes and prepare the work. P34 helps evaluate which deals deserve your capital. Start with a market you know: a wholesale catalogue, a box of parts, a collection, or the opportunities your business already passes over.
These are not businesses that need AI to invent demand. They are resale and distribution businesses where an operator repeatedly decides what to buy, how much to pay, how to divide or transform it, and where to sell it — and where the offers turned down are recorded.
These are illustrative concepts — proposed applications, not verified HyperC integrations, customer case studies, earnings forecasts or demonstrated model profits. Marketplaces, transaction mechanisms and listings cited below were checked on 13 September 2026; a checked listing is a snapshot, not an offer to transact. No purchases or live P34 scoring were performed. Every operating tier below describes a possible design after validation, not a current HyperC support badge.
Buy the itemized pallet, sell the units that were worth the work.
Buy an itemized lot of surplus or shelf-pull goods, then resell the worthwhile units individually or in smaller groups. B-Stock documents registration, manifests, auction bidding and fulfillment arrangements.[5] Liquidation.com carries real, recent lots — auction 21465900 held 174 mixed tools, weighed 55 lb, carried an 8% buyer premium and closed on 10 September 2026. That example is closed, not a currently executable offer.[6]
The agent normalizes the manifest into exact models and condition assumptions, collects permitted comparable outcomes and obtains freight estimates. P34 would evaluate the acquisition and disposition options, including a maximum acceptable purchase cost. The auction engine implements bidding rules separately; no unrestricted bidding API is assumed.
Someone receives, inspects and fulfills the goods. A branded title can conceal mostly generic items — the cited lot expressly warns about its mix. Start with narrow, identifiable, repeatable stock rather than mystery returns. MSRP is not realizable revenue, and an auction’s opening or interim bid is not a winning price.
A top demonstration candidate. The story is not “AI buys cheap pallets”; it is AI helps decide which pallet is worth the work.
A hundred of something, sold as the ten a real project needs.
Buy a bulk pack or surplus lot, then sell the quantities and configurations a small project actually needs. A publicly displayed eBay listing offered 100 cabinet knobs for $42.50 when checked — a real acquisition format, not a profitable resale recommendation.[7] Bulk craft suppliers sell findings, beads, cord and other components the same way.[8]
Identify dimensions, finish, mounting requirements and exact matching stock; compare packs of five, ten or a project-specific kit; include packing labour, postage, packaging and leftovers. P34’s proposed role is to compare feasible sale plans against the acquisition cost, rather than multiply a single-item asking price by the whole lot.
Verify specifications, count, bag and ship. Tiny cheap items often make more sense in useful packs than individually. A person must confirm that mixed finishes or incompatible mounting hardware have not been combined. For cut-to-length material, include cutting waste and measurement time.
One of the clearest examples here: AI supporting an ordinary, useful business with modest physical operations. It is not automatically economical at this subscription price — see the worked lot below.
Authorized wholesale, and the discipline to order nothing.
Buy legitimate wholesale inventory from brands or distributors and sell eligible products through an Amazon seller account.[9] The Selling Partner API covers seller functions — listings, pricing, fees, fulfillment — and is not an API for unrestricted buying from Amazon’s retail site.[10]
Map supplier offers to the correct products, check restrictions, obtain fee estimates, track inventory and evaluate order quantities. P34 would help choose which SKU and quantity combinations merit capital after realistic sales share, returns, inbound costs, storage and price competition.
Distributor approval, acceptable sourcing records, brand and channel permissions, account performance and working capital stay with you. FBA can handle downstream fulfillment but does not obtain a profitable supply relationship. A product’s category sales are not a new seller’s expected sales.
Strong for an existing wholesale operator, not the easiest beginner business. HyperC names Amazon wholesale as its reference production deployment and warns about its operational difficulty; that is a company statement, not independent verification of the trades described here.[11]
An approved dealer range the distributor ships for you.
Become an authorized specialty dealer, sell an approved range, and have the distributor ship customer orders. CWR is a concrete example in marine, outdoor and related equipment;[12] its documentation covers product and inventory downloads, order uploads over FTP, EDI/XML tools, shipment records and customer return authorizations.[13]
Maintain a narrow, accurate catalogue, match customer needs, check supplier availability and route orders. P34 could evaluate product and channel combinations, or customer-acquisition configurations, after distributor costs, shipping, payment fees, support and returns.
Someone secures dealer approval and verifies which products and sales channels are permitted. Compatibility questions, customer acquisition and exception handling remain real work, and common access to a distributor is not itself an edge. This is wholesale-supplier fulfillment, not buying from another retailer after a marketplace order, which eBay’s dropshipping policy restricts.[14]
Among the most credible high-autonomy physical businesses: the logistics can already be electronic and delegated, so the experiment is whether better selection creates an attractive business.
The set is worth more finished, or in pieces — but not both.
Acquire discounted sets or identified collections, then sell parts, minifigures or completed sets. BrickLink’s API documents set contents, inventory and order operations, and a price guide that separates items offered for sale from items sold in the previous six months — unusually useful building blocks for a structured resale experiment.[15]
Expand each acquisition into its component inventory, compare keeping it intact with alternative part-out plans, and account for existing stock. P34 would evaluate acquisition and sale configurations with expected sell-through, order aggregation, picking time and slow inventory.
Sorting, verifying colour, version and condition, checking authenticity and packing are physical. The sum of price-guide values is not cash: desirable figures may sell while common pieces sit. Inventory from one set cannot be counted simultaneously as a complete set and as all of its parts.
One of the strongest hobby-led, data-structured stories. Start with known sets or well-inventoried collections, not an unidentified bin whose contents the agent guesses from a photograph.
No packing, no postage — and a custody problem instead.
Buy and resell transferable game items through a marketplace that actually supports trading. DMarket documents signed trading APIs, offers, buying, targets, inventory and historical sales across CS2, Dota 2, Team Fortress 2 and Rust.[16] Its API changed in March 2026, so old bot examples are not a deployment specification.[17]
Match exact item attributes, collect authorized sales evidence, track available bids and ask depth, and model fees, inventory exposure and time to exit. P34 is more plausibly useful for heterogeneous or illiquid items than for an obvious, immediately executable spread that a simple rule can calculate.
Verify account eligibility, identity checks, funding, withdrawals and the exact custody and resale lifecycle. Fees vary; one advertised low fee does not apply to every item. CS2 items received through a Steam trade carry seven-day protection and reversal mechanics,[18] and DMarket describes the corresponding restrictions and locked funds.[19][20]
A serious digital integration candidate, not proof of a riskless or fully autonomous loop. A permitted DMarket action does not override Steam’s restrictions. Exclude gambling, account sales and prohibited automation, and do not mistake Steam Wallet value for withdrawable cash.
Automated digital dealing already exists. That is the point.
Buy digital Magic Online cards, hold inventory and sell to other players or dealers. Cardhoarder already runs automated buy bots that quote cards according to aggregate inventory needs and refuse stock they do not need. Individual-card sales can produce Event Tickets; converting tickets to cash is a separate dealer transaction.[21]
Under an authorized integration, evaluate card buy prices, stock limits and replenishment against changing demand and liquidation bids. The economically meaningful action is not “buy every card below a guide price”; it is buy the stock this dealer can turn over at an adequate spread.
Existing bots prove that automated digital dealing is a real business mechanism. They do not prove that a new member has approved programmatic access. Event Tickets are not bank dollars, and an executable dealer bid changes with inventory.
An excellent real-world analogy for the thesis, but a partnership track rather than a publishable HyperC workflow. This is Magic Online specifically — not a claim that every digital card game allows resale.
A collection is bought once and sold four hundred times.
Buy an identified collection and sell individual cards or useful playsets. TCGplayer operates a singles marketplace and an eligible-seller Direct fulfillment programme,[22] with its own admission and restocking rules — Direct is not “drop an unsorted collection into a warehouse and stop”.[23]
Normalize edition, language, printing and condition; compare a collection offer with existing stock and expected sell-through. P34 would evaluate buy prices and disposition choices after grading, sorting, fulfillment and returns.
Authenticate and grade cards, distinguish expensive variants, and physically prepare inventory. Avoid any model based on opening sealed random packs. TCGplayer’s developer page currently says it is not granting new API access, so a new operator must establish an approved data route rather than assume an open API.[24]
A real specialist resale business with a meaningful identification and condition burden. Good for an experienced collector; weak as a zero-knowledge autonomous launch story.
A shelf of consoles and cables, sold as the pieces people search for.
Buy a console, game and accessory bundle and sell tested components separately — or complete a useful system bundle. PriceCharting publishes price-data and marketplace API documentation, giving this niche a concrete tooling route rather than a vague appeal to internet listings. Guide prices are still not guaranteed realizable bids.[25]
Distinguish loose games from complete-in-box copies, identify region and edition, compare bundle and part-out outcomes, and propose repairs or missing accessories only when feasible. P34 would evaluate net recovery after testing time, likely faults, completeness and sales velocity.
Cartridge authenticity, disc damage, controller drift, missing power supplies and console faults need real checks. A low-value controller should not inherit the price of a tested premium variant because an image model recognized the same silhouette.
The supply and the buyers already exist here. The AI’s job is to make acquisition and inventory work more disciplined, not to find a market that was hiding.
Two records with the same cover are two different purchases.
Buy a collection and resell selected records individually. Discogs documents pricing by exact release, condition and sales history,[26] and its developer resources provide marketplace inventory functionality.[27]
Build a verified catalogue from labels and runout identifiers, compare the collection with permitted sale records, and plan individually sold records against a residual bulk lot. P34 would evaluate purchase and disposition options with listing labour, condition disputes, storage and turnover.
Inspecting and sometimes play-testing records stays physical. A cover image does not prove the pressing or the condition, and median prices for a rare release cannot be applied to a visually similar common one. Access and usage rights must cover the intended data processing.
Keep the market knowledge — it is an input, not an obstacle AI removes. What this adds is an explicit acquisition price and an explicit exit route.
The body, the lens and the bag are three different customers.
Acquire a body, lens and accessory bundle and sell the parts through specialist channels — or take a dealer offer. MPB provides an actual sell-or-trade route with an online quote followed by physical assessment, so the final offer depends on inspection and is not an unconditional price floor.[28]
Match mount, model and generation, compare dealer proceeds with retail sales, and evaluate whole-kit against split-kit alternatives. P34 would score the plans after fees, shipping, inspection risk, time-to-cash and refunds.
Inspect optics, focus, shutters, batteries and included accessories. A lower dealer exit may beat a higher hypothetical retail price that entails waiting and customer disputes. Those are alternative exits — they cannot both be counted.
A clearer transaction story than renting equipment out: splitting inventory you have bought needs far fewer new demand and utilization assumptions. Rental remains a valid later extension.
A hundred and fifty laptops is a unit count, not an inventory.
Buy decommissioned equipment and choose among refurbishment, component resale, intact resale and responsible disposal. A recent GovDeals listing of 154 laptops described missing storage, widespread missing RAM, absent adapters and condition issues — real supply, and a useful warning.[29]
Parse a manifest, verify exact models, price missing components and obtain repair estimates. P34 would assess the lot and its disposition plans after failure rates, labour, replacement parts, licensing where relevant, freight and residual inventory.
Storage sanitization, activation and management locks, testing, battery condition, repairs and safe disposal need a defined physical process. Never assume a locked or incomplete machine can be restored economically. Small homogeneous batches validate far more easily than mixed, untested pallets.
A strong technician or refurbishment-company story, not a passive-income example — and a compelling enterprise decision problem, because the business already observes its repair and resale outcomes.
Long-tail identification is the business. The part is just the object.
Buy excess components from business closeouts or surplus owners, identify them accurately, and sell to specialist buyers. Radwell operates a concrete surplus-purchasing service with quote and intake options; its willingness to buy a particular item stays conditional and is not implied by a public retail listing.[30]
Normalize manufacturer part numbers, revision, firmware and condition; request permitted dealer quotes; compare quick wholesale recovery against slower retail sales. P34 would evaluate acquisition choices and inventory concentration under sparse demand.
Provenance, genuine condition, technical compatibility and testing matter. Old new stock does not automatically mean usable or valuable. Begin with categories you can safely identify and verify — not untested safety-critical equipment.
Particularly good for a knowledgeable operator or an established surplus dealer. Long-tail identification and delayed demand sit closer to the rejected-deal thesis than any commodity price bot.
One room's worth, out of a lot nobody wanted whole.
Acquire surplus flooring or similar project stock and resell room-sized quantities, or match compatible remnants to a specific job. GovDeals runs a live flooring category with lots in substantial square-foot quantities; each lot’s actual status must be checked before bidding.[31]
Compare specifications, available area, location and delivery cost against buyer requirements. P34 would evaluate purchasing and subdivision plans after breakage, unusable remnants, loading and storage.
Verify batch, shade, locking system, dimensions and condition — two products described as the same colour need not be compatible. Pre-existing customer demand or a specialist sales channel is much stronger evidence than an assumption that all leftover flooring sells.
A good local-operations example, and it makes the source of value visible: supplying a useful small job from a lot too inconvenient for the end buyer.
Sell a team a working office, not a pile of chairs.
Buy a clearance lot and sell cleaned, checked chairs or compact office sets, optionally with delivery. GovDeals’ chair category shows the actual lot supply; the exit is individual buyers and small organisations, not a claim that every clearance lot has ready demand.[32]
Identify models, collect local comparable evidence, estimate truck space and labour, and evaluate sets against individual items. P34 would compare acquisitions and delivery plans after repair, storage, travel and unsold inventory.
Collection deadlines, loading access, stairs, chair mechanisms and warehouse space can dominate the economics. An agent cannot substitute for a truck, an inspection and a reliable delivery operation.
A physical-operations story that should feature practical logistics and measured resale — not an implication that listing things online creates the business.
Hundreds of visually similar parts, and only fitment tells them apart.
Acquire existing lots of genuine used parts and sell accurately identified components to the vehicles they fit. eBay actively supports salvage-parts selling, fitment information and seller integrations,[33] and has published a seller profile of an auto-parts business that grew from a personal project into a warehouse operation — a platform-published case, not a representative earnings estimate.[34]
Match part numbers, fitment and condition, flag ambiguity, and evaluate lots against realistic sell-through and customer returns. P34 would help choose acquisition quantities and disposition options when hundreds of visually similar parts have very different demand.
Inspect and photograph the actual component, verify provenance and use qualified testing where needed. Full-vehicle dismantling adds local operating requirements; start instead from legally sourced parts, and avoid unverified safety-critical components.
A stronger near-term story than a speculative parts microfactory: existing parts commerce supplies the market, and manufacturing can be a later, separately validated extension.
Thousands of SKU offers arrive. A few hundred get a real review.
An established distributor or retailer already receives thousands of SKU and quantity offers, and already holds sales, return, inventory and labour records. The agent standardizes supplier files and exclusions. P34 would score a feasible opportunity menu — including historically skipped offers — while procurement approval and supplier commitments stay controlled.
The agent ingests authorized supplier feeds, aligns product identities and costs, reconstructs decision-time availability, flags incomplete offers and prepares reviewable purchase orders. Existing procurement, inventory and fulfillment systems execute approved work.
Merchants approve category strategy, supplier qualification, provenance and exception handling. Finance sets exposure limits; procurement owns commitments; warehouse teams handle real goods. Purchase-order approval is required before any bounded automated lane is considered.
The first test compares the new selection with the merchandiser’s existing rules and decisions, using the same capital limits and a defined outcome horizon. A wider assortment is not success unless the additional inventory produces adequate net recovery. This is a proposed deployment design, not a completed pilot.
Sell it whole, fix it, break it for parts, or scrap it — pick one.
A liquidator, electronics refurbisher or salvage operator receives heterogeneous goods and repeatedly chooses between selling intact, repairing, dividing into parts, selling wholesale and disposing. The agent assembles technically feasible routes and cost evidence. P34 would evaluate them using actual repair, return, inventory and realization records.
The agent builds the feasible route set per unit — intact, repaired, parted out, wholesaled, disposed — with parts availability, technician time and channel evidence attached to each. P34 scores the routes against realized recoveries rather than list prices.
The enterprise already controls physical operations and observes final outcomes, which is what makes this tractable. It also forces disciplined accounting: a device cannot be sold intact and counted again as harvested components. A shared capacity layer must stop multiple recommended jobs consuming the same technician hours or inventory.
Particularly useful as a second enterprise lane, because the counterfactual is measurable: the operator has been making this call by hand for years and the outcomes are on file.
| Operating tier | What can be delegated | What remains yours |
|---|---|---|
| Digital routine | Approved market-data, listing, pricing and trading interfaces | Account permissions, custody, settlement, cash withdrawal and exception oversight |
| Delegated fulfillment | Supplier ordering, inventory synchronization, warehouse fulfillment | Supplier and channel approval, capital, customer obligations and returns |
| Workbench resale | Research, component identification, economics, listing drafts and order administration | Authenticity, condition checks, sorting, testing and packing |
| Local or technical operation | Procurement analysis, routing, quoting and dispatch support | Hauling, storage, repair, installation or qualified inspection |
Every concept starts in research and shadow testing. The tier on a card is a possible operating design after validation — not a description of what is available today, and not a plan to remove you from the loop. See the autonomy roadmap for what actually ships now.
No fantasy. No passive-income promise. Most of these need your hands, your capital and a market you already understand — the AI is how you find the work worth doing.
The hundred-knob listing is useful precisely because $0.43 an item can end badly. What follows is an illustrative calculation, not an observed resale outcome and not a statement of any platform’s fee schedule. Only the acquisition price comes from the inspected listing.[7]
| Assumption or calculation | Amount |
|---|---|
| Buy 100 knobs — observed | $42.50 |
| Sell ten packs of ten at an assumed $14.95 | $149.50 revenue |
| Assumed blended selling and payment expense, 15% | −$22.43 |
| Assumed shipping and packaging, $5 per order | −$50.00 |
| Assumed labour, one hour at $20 | −$20.00 |
| Contribution before returns, overhead, tax and HyperC costs | $14.57 |
Actual fees may include fixed charges or a different fee base, and acquisition shipping or tax adds cost. Percentage expenses are rounded to cents.
Now sell only five packs in the evaluation window. Revenue is $74.75; at the same fee rate, $25 of shipping and the full acquisition and labour outlay, cash contribution is about −$23.96. Fifty knobs remain inventory — not zero-value waste, and not realized profit. That distinction between cash recovered, stock still held and sales that may never happen is the whole reason a selection model has to be scored on the menu rather than on its winners.
A useful objective is expected proceeds minus acquisition, shipping, platform fees, preparation, labour, expected return losses and holding or disposal costs — under a budget and a loss limit. For lot splitting, sell-through, correlated leftover stock and operating capacity matter as much as unit price.
The lot ties up $42.50 and returns $14.57 after everything above, including an hour of your own time paid at $20. Two habits of measuring it, both honest, three-fold apart:
| Return on… | Base | Per lot |
|---|---|---|
| Cash at risk — the lot itself | $42.50 | 34.3% |
| Total cash out — lot, fees, postage and the labour hour | $134.93 | 10.8% |
Resellers usually quote the first. The second is the one that includes paying yourself.
Now run two of these a week. Assume four weeks from purchase to last sale, so eight lots are in flight at any moment and the capital recycles rather than accumulating.
| At two lots a week | This business | A broad stock index |
|---|---|---|
| Lots handled in a year | 104 | — |
| Contribution for the year | $1,515 | $1,515 |
| Capital you must have | $340 (8 lots in flight) | about $15,000 |
| Annual return on that capital | ≈446% | ≈10% |
| Hours of your time | 104 | 0 |
| What happens if you add $50,000 | Nothing. It buys 1,176 more lots you have no hands to pack. | It compounds at the same rate. |
The ≈10% is the commonly quoted long-run nominal average for a broad equity index over multi-decade periods — a rough reference point, not a figure verified here, not a promise, and not advice. Index returns are also volatile, can be negative for years, and are not contribution before tax.
446% is not a better investment than 10%. It is not an investment at all. The percentage is enormous because the denominator is tiny, and the denominator is tiny because capital is not the scarce thing here — your hands and your calendar are. An index will absorb $15,000 or $150,000 without asking anything of you. This will not take a third lot in a week because you happen to have more money.
Read the last two rows together and the shape is clear: the yield is high because it is work, and the return on capital is the wrong ratio for work. A closer reading of the same numbers: the business pays you $20 an hour for 104 hours, and then makes $1,515 on top of that. Whether that is worth your Saturdays is a question about the hourly rate, not about the percentage.
Semi-automated, not passive. The agent does the searching, the manifest arithmetic, the comparison of sale routes and the overnight monitoring — that is the part that used to eat the evening and now costs tokens. A person still counts, bags, ships and answers the buyer who says two knobs are the wrong finish. Every operating tier on this page draws that line, and no tier on it removes you from the loop.
And the scale check this page owes you. One hundred and four knob lots produce about $1,515 of contribution in a year, against a $200/month membership — $2,400 a year. At this lot’s ~9.7% contribution margin, the subscription alone needs roughly $2,050 of sales a month before the platform has paid for itself. A lot this size is a clean way to prove the loop end to end; it is not, at this size, a business that covers the tool. The way it becomes one is bigger lots, better selection, or a great many more of them — which is exactly the decision P34 is pointed at.
$200 a month is a managed 24/7 workspace, the tooling around it, and model compute tokens as weekly plan credits that replenish every Monday — 100 a week for founding members, 400 tokens a month, twice the standard rate. When a week's credits run out, pay-as-you-go tokens keep the work going, and those never expire. Smaller plans run Business Builder in a smaller workspace: Starter at $20 a month, and the free Invite tier through a member's invite. Only need the model? The API alone is pay-as-you-go, from $15, without the workspace.
A persistent managed VM with browsers, crawlers, parsers, curated data sources, approved network profiles, Python, shell, schedulers and storage. It keeps working while you are at your day job.
Tokens are spent scoring menus. A bigger menu, a longer history and a more frequent re-score all cost more — which is why refusing early matters economically, not just commercially.
Blueprints and evidence from markets already explored — menu shapes, data sources and operating notes — plus weekly drops of new markets and agent skills.
Operators, builders and researchers comparing market experiments, results and lessons. Several of the concepts above are more workable with a second operator than alone.
HyperC's own agents watch workspace health — job status, crawler failures, expired credentials, resource limits — and flag problems inside your workspace only.
Capital, accounts, supplier relationships, licences, insurance or customers. Every concept on this page assumes you bring those, and several assume you bring a van or a workbench too.
Exact workspace specs — VM size, storage, bandwidth, included compute allowance, crawler limits, networking options, overage rules and the prohibited-use policy — are published on the plan page before checkout.
None of these is your market? The catalogue has 135 — and the best one is usually the market you are already in.
A free account browses, buys and keeps markets in the Market Store. Running them needs Business Builder, which comes with a plan. The same four offers are in the Market Store and the console.
By invitation. Business Builder in a small workspace of your own, free, through a member's invite.
Ask a friend who has Business Builder for an invite.
Business Builder in a bigger workspace of your own — room for a market or two.
Monthly product/service subscription. Not equity, a pooled investment or guaranteed earnings.
Your managed AI business workspace, with the founding grant of weekly plan credits: 50 100 tokens every week — 400 tokens a month. Plan credits replenish every Monday; when a week runs out, pay-as-you-go tokens keep you going. Compute tokens are globally in short supply, and we are not an exception.
Monthly product/service subscription. Not equity, a pooled investment or guaranteed earnings.
The P34 model without the workspace: call it from your own code or agent and pay only for the compute each calculation uses. 1 token = $1, and tokens you buy never expire.
POST /validate and mock fitsPrepaid usage, no subscription. Not equity, a pooled investment or guaranteed earnings.
No, and the gallery is arranged to make that obvious. Only the top of it is close to a screen-only business, and even there you are handling account approval, identity checks, custody and withdrawals. Below that you are testing consoles, grading cards, parsing a manifest, loading a van. What the platform removes is the searching, the manifest arithmetic and the 3 a.m. monitoring — not the work. The worked lot above shows a real $42.50 purchase turning into either $14.57 or −$23.96 depending on how much of it sells.
No. They are proposed applications — worked examples of what an agent plus an economic model could plausibly coordinate, with the operating constraints, data rights and remaining human work stated. They are not verified HyperC integrations, customer case studies, earnings forecasts or demonstrated model profits, and no purchases or live P34 scoring were performed to write them. What is established is that the marketplaces, transaction mechanisms and, in a few cases, the dealers exist. Published case studies live on the industry cases page, with customer permission and metric definitions.
We do not know, and anyone who tells you a number for your market has not looked at it. P34 is built to pursue profit by scoring opportunities and refusing weak ones; it does not promise that any accepted action, member or period will be profitable. You supply the capital and keep the result — positive or negative.
Collection and preparation: crawling authorized sources, calling permitted APIs, normalizing listings, joining prices to outcomes, building the menu and calling P34 on it. In the default configuration it stops there and waits for you. Where a workflow supports automation, it runs bounded — budgets, caps, audit logs and an emergency stop — and you enable it explicitly.
Claude, ChatGPT, an open-source model or your own code. The workspace exposes standard tools — shell, Python, browsers, APIs — that any competent agent can drive, plus P34 skills that make the model calls.
It helps, but it is not the gate. Your agent does most of the operating work, and market blueprints and templates cover the common paths. You do need to understand the market you operate in and to review what the system proposes.
Not by default, and on several of these platforms not at all. Spending, signing, custody and withdrawal are yours. Beyond that, permission is a separate requirement from capability: eBay’s user agreement restricts unauthorized automated access and names AI buying agents, and Steam carries its own broad automation restriction — so the workable design uses approved integrations and permitted feeds, with manual steps where the platform requires them. The two enterprise lanes sit behind explicit purchase-order approval for the same reason.
Collection tools are for authorized and public data, used in compliance with applicable law, access permissions, website terms and plan policies. Network profiles exist for lawful regional access, privacy and testing — never for bypassing paywalls, bans, authentication or platform controls. Violations are grounds for termination. Several cards above name a specific data licence limit for the same reason: a source being reachable is not a source being licensed.
The two enterprise concepts are the shape of that conversation: shadow test, capped pilot, then scale with controls. Start at hyperc.com/enterprise.
Monthly access to software, compute and managed services. Built to pursue business outcomes; no profit is promised. Not equity, a pooled investment or guaranteed earnings.