Enrich records with buying-intent research via API

No. Cleanlist AI buys no intent data from any vendor. There is no Bombora feed, no G2 Buyer Intent feed, no 6sense or Demandbase model, no Similarweb traffic signal and no job-posting intent feed anywhere in the product. There is no surge score, no topic score, no in-market score and no website visitor de-anonymization. There is also no intent filter in Cleanlist AI People Search or Company Search, so intent cannot be used to build or narrow a list. Cleanlist AI is an orchestration layer over contact-data providers, and an intent vendor has never been part of that stack. Last verified against the product on August 7, 2026.

No. Neither Cleanlist AI search surface accepts an intent parameter. Cleanlist AI People Search exposes about 24 distinct filter fields covering title, seniority, years in role, location, skills, education, past titles and companies, industry and headcount. Cleanlist AI Company Search exposes 9 dimensions: company name, domain, industry, headcount band, HQ location, company type, funding stage, last funding round type and year founded. The funding keys return data: a live probe on September 7, 2026 sent funding_stages with the value series_b and Company Search returned 10,498 companies. The enum is lowercase with underscores, so series_b matches and Series B silently returns nothing. Intent and technology filters are absent from both sets.

A Cleanlist AI column can research anything a company has published, one row at a time. Useful examples: whether a company posted a funding announcement in the last 90 days, whether it currently lists open roles on a specific team, whether it published a case study in a category you sell into, whether it announced a product launch, an office or a leadership hire. You write the question in plain English, the agent researches that single row on the open web at run time, and it returns an answer plus the URLs it read. That gives you a public trigger you can reference in an email. It is not a probability that the account is in-market, because nothing here observes private research behaviour.

No. A hiring or funding announcement is a public event. Intent data is inferred from observed research behaviour, usually anonymous content consumption measured across a panel of sites and mapped back to a company. The two behave differently in a workflow. Public events are verifiable, cite-able and available to every competitor at the same moment. Behavioural intent is probabilistic, exclusive to whoever licenses the panel, and expressed as a score relative to a baseline. Cleanlist AI columns can research the first category. Cleanlist AI cannot produce the second at all, and no amount of prompting changes that, because the underlying observation does not exist in the product.

Cleanlist AI columns are priced per row: Custom AI is 1 credit, Title Normalizer 0.5, Company Intel 2, Pain Point Hypothesis 2 and Cold Intro Email 3. Researching a trigger question across 1,000 accounts on the Custom AI column is therefore 1,000 credits. Credits come from your plan: 50 per month for the workspace on the free tier, 750 per seat on Starter at $49 a seat and 1,500 per seat on Pro at $89 a seat, pooled into one team balance, with 25% off seats when billed annually.

Third-party intent data observes research behaviour across a network and scores accounts against a topic taxonomy, so it can rank a market by who is unusually active this week. Per-row AI research reads what one company has published and answers one question about it. Third-party intent is reverse-queryable and comparative. AI research is forward-only and per row: you must already hold the account, you pay per account researched, the answer is free text rather than a score, and two runs on different days can differ because the web changed. Both are useful for different jobs. Cleanlist AI does only the second one.

Real intent data comes from networks that observe research behaviour at scale. Bombora states its Data Co-op spans "5,000+ of the top B2B sites on the web", captures signals from "nearly 4.7 million unique domains" and "15.8 billion interactions a month", maps them to "2.8 million businesses", and classifies content into a "21,600+ B2B taxonomy" (bombora.com/data, retrieved August 7, 2026). G2 states that "over 200 million software buyers research across G2, Capterra, Software Advice, and GetApp each year" and sells that first-party activity as G2 Buyer Intent (sell.g2.com/buyer-intent, retrieved August 7, 2026). Those panels are the asset. Cleanlist AI owns no panel and licenses no feed.

No. Cleanlist AI has no website visitor identification, no reverse-IP resolution and no de-anonymization pixel. There is no script to install and no product surface that consumes web traffic. That category is served by vendors that maintain an IP-to-company graph or a first-party identity network. What Cleanlist AI can do once a visitor has been identified some other way is enrich the record: a verified work email is 1 credit, a phone is 10, both are 11, and enrichment is charged only when a match is returned.

No. Cleanlist AI has no job-change detection, alerting or watchlists. There is a query-time filter for people who recently changed jobs, so you can ask who has changed jobs and get a list back at that moment, but you cannot register a list and be notified when someone in it moves. Cleanlist AI API v2 also has no webhooks, so there is no delivery channel for that event even if the detection existed. The approximation is to rerun the same search on a schedule and diff the results yourself. People Search is capped at 60 searches per UTC day per API key.

No. Ranking a market by current buying activity requires observed research behaviour across a panel, and Cleanlist AI observes none. Cleanlist AI can research public triggers on accounts you already hold, one row at a time, at 1 credit per row on the Custom AI column. That gives you a reason to reach out, not a ranked in-market list. If in-market ranking is the requirement, license an intent feed and use Cleanlist AI for the step after it. Enriching the buying committee on a flagged domain list is where the credits go.

No. Cleanlist AI ICP scoring rates a row 0 to 100 from firmographic attributes and AI-researched signals. Intent is not an input, because there is no intent field to feed it, and no third-party intent feed reaches the scoring model. If you want a trigger to influence prioritisation, run an AI column with your question, write the answer back onto the row, and rank on that yourself alongside the ICP score. That research costs 1 credit per row on the Custom AI column.

AI columns run through the smart-agents endpoints on Cleanlist AI REST API v2: POST https://api.cleanlist.ai/api/v2/smart-agents/run to dispatch, GET /api/v2/smart-agents/{id} to poll. Authentication is a Bearer key with the clapi_ prefix. API v2 has no webhooks, so results are polled. Quote paid bulk work first with POST /api/v2/credits/estimate, which returns a signed quote the server enforces, so a job cannot exceed the price you were quoted. Rate limits are 60 requests per minute per organization and 30 per minute per API key. REST API access requires a Pro plan or above. There is no intent endpoint on any version of the Cleanlist AI API.

Use Cleanlist AI here only when you already hold the accounts and want a researched, cited note on each one. Cleanlist AI is strongest at the step after targeting: turning a defined cohort into verified contact data, at 1 credit for a verified email, 10 for a phone, 11 for both, with enrichment charged only on a match. If your programme depends on knowing who is researching your category before they raise a hand, license an intent panel and treat Cleanlist AI as the contact layer underneath it. Every new Cleanlist AI workspace opens on Pro for 14 days with 250 credits, which is enough to test the AI column on 250 accounts first.