vaaya / blog
The Vaaya blog
Practical guides to agent payments, product updates, and examples of what you can build with Vaaya.
110 posts · Newest first
We asked 3 AIs for a personal injury lawyer in Austin. 57 firms came up.
A September 2026 Austin test returned 27 answers and named 57 firms. See how the lists differed across ChatGPT, Perplexity and Google AI.
ChatGPT SEO for lawyers: how to get your firm recommended
Build a law-firm AI visibility baseline, correct the information clients and AI services find, and track mentions by practice area and city.
ChatGPT SEO vs Google SEO: what actually changes
Compare Google rankings with AI mentions and citations, learn which SEO foundations carry over, and measure each without confusing the results.
How to check if ChatGPT recommends your business
Test the questions customers ask, save the businesses and sources in each answer, and build a repeatable check of your AI visibility.
How to get your business named in AI answers
Build an AI visibility baseline, correct your public business information, inspect cited sources and recheck the same customer questions.
How AI assistants decide which businesses to recommend
Follow the question, sources and answer to understand AI business recommendations without pretending citations reveal a secret ranking formula.
How often should a law firm check its AI visibility?
Start with a weekly review of the same client questions. Track each AI separately, keep failed checks and look for patterns before reacting.
Law-firm SEO keywords at $88 a click: what the number means
A dated keyword estimate puts law-firm SEO terms at $88–97 per click. Separate that ad cost from SEO fees before budgeting for AI visibility.
What is answer engine optimization (AEO)?
AEO helps businesses understand and improve their visibility in AI answers. Learn what to measure and where to start.
How to see which law firms ChatGPT recommends in your city
Test client questions for your practice and city, compare the named firms across three AI services and inspect the sources behind each answer.
How to generate a short video from a photo
Animate one photo with a bounded video request. Follow the original Lake McDonald example, inspect the finished clip, and preserve its prompt and recorded cost.
How AI can follow money rules without negotiating every purchase
Put a spending policy before the paid call, check the work afterwards, and keep a human responsible for changing the rules. A practical guide to agent money management on Vaaya.
Borrow against your holdings to fund agent work
A coming-soon look at using holdings to support agent spending, with a clear separation between borrowing capacity, agent permissions, and the obligation to repay.
Long-running vs short-lived agents: how to budget both
Give recurring agents a reviewed allowance and one-off jobs a total budget. Use Vaaya's live key controls, with automatic expiry and job-level controls marked Coming soon.
A company card for sales, marketing and personal assistant agents
Give sales research, campaign production and personal assistants separate spending policies. Use live Vaaya controls today, with booking and food-ordering extensions marked Coming soon.
How to build a local business lead list
Build a location-scoped business list with Vaaya, confirm each website, remove duplicate branches correctly and export useful qualification notes.
How to check whether AI answers cite your website
Capture what AI search engines answer, distinguish mentions from citations, and repeat a fixed prompt set without overstating visibility.
How to choose a model for a specific task
Compare models on your actual inputs with a fixed rubric, bounded trial budget and a record of output quality, elapsed time and observed charges.
How to compare a product across online stores
Compare identical product variants across stores, preserve incomplete costs, and recheck the final offer before a buying decision.
How to compare travel offers from public sources
Normalize hotel and flight offers from supplied quotes and accessible public pages, preserving dates, occupancy, fees and verification gaps.
How to create a voiceover for a script
Turn an approved script into a voiceover with Vaaya, choose a supported voice, and check pronunciation, pace and the downloaded audio before using it.
How to extract useful content from a web page
Read a public page through Vaaya, turn its contents into a checked schema, and preserve source URLs, retrieval times and honest missing values.
How to find buying signals for a target account
Turn company news and hiring evidence into a dated account review, with buying hypotheses separated from observed facts.
How to find creators for a campaign
Find campaign-fit creators from relevant content, review their recent work and build a shortlist without inventing audience or conversion data.
How to find the right people at a target company
Find role-matched people at a company, verify identity and current employment, and enrich only the contacts your research needs.
How to build a shortlist of real estate agents
Find local real estate professionals, verify public identity and license information, and prepare consistent interview questions.
How to generate and revise an image with an agent
Generate one image, inspect it, and make a controlled revision through Vaaya using an explicit brief and separate generation and editing calls.
How to give an agent a browser for a bounded task
Create a bounded Browserbase session through Vaaya, let your agent inspect one permitted workflow, verify its result and release the session.
How to make the hotel lobby AI video
Make the viral hotel lobby AI video. Upload photos of you and a friend, and Vaaya renders you both in the orange COLORS booth. $11, no editing, five to ten minutes.
How to build a useful news monitoring digest
Build a dated news digest with clear entity matching, source links and deduplication, then schedule it in your own application.
How to prepare agent email and phone outreach
Prepare a bounded email or phone task for an agent, review the recipient and content, and track the real action without duplicate retries.
How to read insider filings without losing the context
Retrieve public Form 4 filings, inspect transaction codes and footnotes, and build a source-linked record without treating every transaction as a market bet.
How to research a company before a sales call
Build a sourced company brief with Vaaya: resolve the business, inspect its own pages, add relevant events and preserve the gaps.
How to research a used car before contacting a seller
Build a used-car evidence sheet from a supplied listing and comparable asking prices, with history gaps and inspection questions kept visible.
How to research an Amazon product
Create an Amazon product and review brief tied to the exact ASIN, market and variant, with sample limits and unknowns preserved.
How to research Chinese social platforms
Research Chinese social platforms with source-preserving queries, platform-specific endpoints and translations that keep uncertainty visible.
How to research a DeFi protocol before using it
Build a read-only DeFi research brief from protocol documents and dated data. Separate TVL, token metrics, yield claims and contract controls.
How to research a legal question with primary sources
Build a legal research memo with jurisdiction, dates, original authorities and a visible list of unresolved questions. Check source text before summarizing a rule.
How to research an address using onchain data
Inspect a public address or transaction with an explicit chain, time range and evidence trail. Preserve units and separate observed transfers from ownership guesses.
How to read a prediction market carefully
Build a read-only prediction-market brief by checking the exact contract, resolution rules, timestamped prices and the limits of the available data.
How to research a property’s estimated value
Build a property-value research worksheet with checked subject details, dated comparable records and an automated estimate’s limits.
How to research search keywords and competing pages
Build a keyword brief from dated search results and real competing pages, then decide which page to write or improve.
How to research a software vendor before a demo
Turn product documentation, pricing, security pages and review evidence into a requirements comparison and a focused vendor-demo agenda.
How to build a sourced stock research brief
Build a stock research packet with the right security, timestamped quotes, financial periods and links to the original filings.
How to research products on TikTok Shop
Research a TikTok Shop listing by market and product identity, preserve variant-level evidence, and distinguish observed metrics from estimated sales.
How to research a topic on YouTube
Build a YouTube research brief from selected videos, available captions and comments, with timestamps and clear limits on what you actually read.
How to review a dealer’s public inventory
Create a dated inventory snapshot from public dealer pages, tracking VIN duplicates, missing pages and changes without inventing sales.
How to run a social listening review
Collect a bounded sample of brand or topic discussions, retain original links and dates, and write a digest that makes coverage limits clear.
How to connect Vaaya to Muse
Connect Vaaya to Muse with OAuth, verify the connection, then run one small task using consult, use and result with an explicit budget.
Why Vaaya’s Hotel Lobby recipe is built for the Migos AI trend
See the supplied Vaaya Hotel Lobby video beside an H3 Max sample, compare photographic FLUX and Nano Banana Pro images, and learn how Vaaya builds prompts for each character.
Paying for agents you deploy at a client's site
Decide who funds a client deployment, keep ordinary keys within the right trust boundary, and separate usage records from client billing. Native statements and rebilling are Coming soon.
Treasury management for an agent-run business on Vaaya
Bring paid agent work into one account, assign limits to each agent, and reconcile service spending without confusing a budget, a balance and a bill.
Your agents need corporate cards
Give each agent a named spending identity, a budget and a way to stop. The employee corporate-card model explains the controls available on Vaaya today.
How to make account-specific creative without making up the account
Build account-specific hero images and short videos from sourced briefs, with review gates, campaign budgets and useful measurement.
Give an AI SDR a spending policy before you give it a budget
A practical design for using Jev judgments, spending caps and Vaaya receipts to decide which sales tasks deserve another paid call, with a test plan that measures the leads a gate misses.
Ask Jev before your agent spends a dollar
Put a typed relevance check before an agent's paid calls, enforce budgets in code, and measure useful work lost as carefully as money avoided.
Budget 50 cents to give a new signup a useful first result
Design a bounded first-result offer: one useful artifact, one run, a fixed spending cap, and an activation funnel that can distinguish usage from a real improvement.
How to put a custom image in every cold email
Turn a prospect's public website into a relevant visual, with a fit check, a generation budget and a review step before sending.
Instinct made a watch-ad draft and reported $6.81 for the last pass
An independent watch-ad concept made through Instinct shows how to review creative output and keep a cost record for every attempt, including the ones you discard.
Only pay to enrich the CRM records worth calling
Put a Jev fit check before OneFind enrichment, cap each accepted lookup, and measure usable contacts alongside spending and missed opportunities.
Drag and drop that knows what you meant
Use Jev to select a plausible drop action, then enforce permissions, preview changes and make the operation reversible.
Rank real estate listings by what buyers actually ask
Use Jev to score property evidence against a buyer's stated preferences, keep hard limits in code, and show missing facts before paying for deeper research.
Score every sales reply with Jev before anyone answers
Classify sales replies before drafting a response. Route interest, objections, timing, wrong-person replies, and unsubscribes while measuring the opportunities you might miss.
Marketing AI spend goes to drafts nobody ships. Let Jev pick first.
Use Jev to screen hooks, check a brand rubric, and route comments before paying for rewrites or creative production. Evaluate the rejected ideas as well as the shortlist.
Smart copy-paste: Jev knows what you copied and where it's going
Classify clipboard content and its destination, then let ordinary code perform a reversible, previewed transformation.
A smart keyboard that knows what you're typing into
Use Jev to classify the writing context, then offer an appropriate snippet, call a writing model, or leave the user alone.
Jev reads the ticket. The LLM writes the reply.
Use Jev to classify support tickets, choose a macro or human queue, and reserve generated replies for cases that need them. Includes a cost-per-1,000 example.
A weekly health score for every account
Use Jev to classify account signals each week, preserve the evidence behind each flag, and spend on follow-up only when someone has a useful action to take.
The Nine O’Clock Train gives AI a referee’s job
A detective game uses typed AI judgments to interpret a player's questions while keeping the mystery under the author's control. Here is what the live game shows, how the design works, and how to measure its cost.
Is a $0.40 video worth it for a $2,000 deal?
Judge personalized sales video by incremental profit, total production cost and a controlled test, with a practical five-second workflow.
Use PostHog to enrich the signups who show intent
Trigger lead enrichment after meaningful product activity, use Jev to check fit, and build a daily account list with a clear spending limit and source evidence.
How to read a week of an agent’s spending
Group an agent’s paid calls by the jobs they served, reconcile charges and usage, and decide which work deserves another week of budget.
Turn session replays into a morning list of product fixes
Build a bounded session-replay review workflow with PostHog, masked frames, paid vision, and evidence-linked notes. Understand export limits before scheduling ten reviews a day.
Give your support agent a repair budget
A practical policy for letting a support agent buy a replacement render or missing lookup, with ticket budgets, receipts, and clear escalation rules.
Jev model routing: what 450 real calls revealed
A live 50-prompt Jev routing benchmark. Compare measured Vaaya costs, frozen-check pass rates, latency and every call’s receipt.
Can two AI assistants talk to each other? Yes — here's what happens
See a real planner-to-reviewer exchange, its contradictory verdict and a runnable check. How agent handoffs work, what they cost and where they should stop.
How to make a video trailer from your camera roll with one text
Share selected photos and one clear brief with your AI agent. Watch a real three-photo trailer, inspect the originals and copy the exact generation request.
How to get alerted when something hits Craigslist (without refreshing all day)
Use Craigslist saved-search email alerts, then let an authorized assistant filter the matches. See a real desk listing, its source link and a reusable watch brief.
How to file a GitHub issue by texting a crash log
Turn a crash log into a reviewable GitHub issue with reproduction steps and evidence. Download a real exception log, runnable fixture and finished issue draft.
Seedance vs Hailuo vs Kling: which AI video model is best in 2026?
Compare exact Seedance, Hailuo and Kling variants by task. Watch two real same-input clips, inspect their prompts and costs, and see the limits of this comparison.
How to find every subscription you're paying for in your inbox
Search receipts and renewal notices, remove duplicates and verify what's still active. See a runnable audit of 12 sample emails, its subscription list and CSV.
How to animate old family photos and make them move
Keep the original scan, ask for subtle movement and inspect every face. See an archival family portrait, its actual AI animation, the exact prompt and recorded cost.
Should your AI agent auto-pay invoices? How signed usage statements make it safer
Auto-pay only within an approved policy. A runnable signed-statement demo shows what signatures verify, what they cannot prove, and how to prevent duplicate payments.
What happens when your AI agent runs out of money mid-task?
The next paid step stops. Learn what happens to completed work, how to read Vaaya's funding errors, and how to continue without buying the same work twice.
How to give your AI agent a credit card (without giving it your credit card)
Give your AI agent a spending account for paid tools, with its own key, category restrictions and spending ceilings. Here is how to set it up with Vaaya.
Instinct × Vaaya: a credit card for your personal agent
Instinct is a personal agent you text. It now opens its own Vaaya account, starts with $10, and pays per call for search, scraping, data, media, models and compute. No API keys, no card, no subscriptions.
The financial infrastructure for AI agents: 2026 field report
What has been built for agents to pay, hold, and be trusted with money as of September 2026: rails, protocols, wallets, controls, credit, with sourced numbers.
What is agentic payment infrastructure?
The systems that let software pay without a person at the keyboard: rails, protocols, and the identity, authorization, and record layers around them.
Can an AI agent have a bank account?
No. A bank account needs a legal person and a beneficial owner, and an agent is neither. What exists instead, and why a policy is what was wanted.
What an AI agent can buy through Vaaya
Find products with OneSearch, approve purchases at supported stores, and give your agent access to paid APIs for search, data, media, models and compute.
How an AI agent can buy compute
Sandboxes metered by the second or by the run, started by the agent, billed to one balance with a ceiling on every call. One real lifecycle, priced.
How can AI agents spend money securely?
The risk is excessive agency: an agent with more spending power than its task needs. Each control mapped against OWASP and NIST, and where a human belongs.
Can an agent pay for a research service?
Yes, per call. Research providers are metered by query or task and priced before the call runs. One real research run, what it cost, and how to cap a loop.
How x402 works for AI agents
The request, the 402, the signed retry, the facilitator, the resource. Then the same purchase through a gateway with a spending policy, and when to use which.
Can my agent pay for APIs?
Yes, three ways: paste vendor keys into the agent, give it a virtual card, or give it one key to a balance with a policy. The third is the one that scales.
How AI agents pay for tools: MCP payments and monetization
A practical guide to MCP payments: who pays, how a paid tool call settles, and the tradeoffs between credits, x402, MPP, and vendor accounts.
Vaaya vs. ATXP: two approaches to agent payments
Vaaya and ATXP both help agents buy tools without per-vendor keys, but one is a routing gateway and the other is a protocol and developer platform.
Vaaya vs. Nevermined: gateway access or payment infrastructure?
Vaaya routes agents to paid tools through one MCP; Nevermined helps builders register, price, gate, and monetize their own agents and APIs.
What is x402?
x402 uses the HTTP 402 status to ask for payment inside the request. The server states the price, the client pays, the server serves. Why it fits agents.
AI agent payment protocols compared: x402, MPP, ACP, AP2, UCP
Five protocols, two families. x402 and MPP pay a service per request. ACP, AP2, and UCP let an agent buy from a merchant. Which to use for what.
How to create and fund a wallet for an AI agent
Two ways to open one: a person signs up and installs the MCP server, or the agent registers itself and hands over a claim link. Four ways to fund it.
Let Claude pay for tools over MCP
One MCP server in Claude Code or Claude Desktop, and Claude can pay for search, scraping, data, compute, and media per call, with no card in its context.
Can AI agents have credit?
Not usage credits, and not directly. An agent draws on a credit line underwritten on the person behind it, and spends before anyone deposits a dollar.
The State of Agentic Payments
A field guide to how software learned to spend — who's building the rails, what's actually live, and the problems nobody's solved yet.
How to let an AI agent pay without giving it your card
Give the agent a key to a balance you own with a policy on the key, instead of a card number. When that is enough and when you still need a virtual card.
Let a Cursor agent pay for APIs over MCP
One MCP server in Cursor, and the agent can call paid search, scraping, data, compute, and media APIs from one balance with a ceiling on every call.
What is an AI agent wallet?
Spendable value plus the rules for spending it, attached to an agent rather than a person's card. The three things people mean by the term.
Find and enrich leads, straight from your agent
How an AI agent goes from a plain-English ICP to verified, enriched leads, through one integration.
Give your agents the live web: search and scrape
Real-time web search, crawling, and structured extraction for AI agents, through one integration.
How to give an AI agent a budget
A monthly limit on the key, a maximum cost the agent states on every call, and an account ceiling. What each does and what happens when one says no.
Try Vaaya with your agent.
Connect your agent to search, data, models, and compute. Set a budget and pay for the calls you use.
npx @vaaya/mcp install