canonical: https://jentic.com/apis/glasser.ai/glasser # Glasser The Glasser API runs go-to-market research through one key and a pay-per-call model, returning company intelligence, web research, prospect search, SEO and social research, and market data. It also exposes a run layer: search and inspect runnable endpoints with their schemas and price, start a run, poll its status and output, or stop it. A balance endpoint and a full balance history track spend against a prepaid balance. ## For AI agents Run company intelligence, web research, prospect search, SEO, social, and market-data lookups, orchestrate runs, and track prepaid balance and spend. ## Scope Does not host your own APIs, manage billing accounts, or store business records. Use for running go-to-market research and data lookups across wholesale APIs only. ## Capabilities - Run company intelligence and web research on a target - Find prospects through people search - Pull keyword and SEO research and social media research - Retrieve market data for a sector or query - Search and inspect runnable endpoints, then start, poll, and stop runs - Check your balance and list every balance movement ## Use cases ### Agent-Run GTM Research An AI agent assembles a go-to-market brief on a target account without a human stitching tools together. It runs company intelligence and web research, finds prospects through people search, and pulls market data, all from one key. Jentic exposes each Glasser operation with its input schema so the agent supplies the company and query fields correctly on the first call. Example prompt: Run company intelligence on a domain, find prospects at that company, then pull market data for its sector ### Prospect and Company Enrichment A sales workflow enriches a lead list with company and contact signals before a rep reaches out. The Glasser API runs company intelligence on each domain and people search to surface prospects, and SEO and social research add context on the company's online footprint. The results feed straight into the workflow's own records. Example prompt: Find prospects at a target company, then run company intelligence and social research to enrich each record ### Run Orchestration and Spend Control A team runs many research calls and needs to watch spend against a prepaid balance. The Glasser API searches and inspects runnable endpoints to see schemas and price, starts and polls runs, and stops any that run long, while the balance and balance-history operations report every movement. Spend stays visible as volume grows. Example prompt: Inspect a runnable endpoint for its price, start a run, poll its status, and read the balance history to confirm the charge ## Key endpoints | Method | Path | Description | | --- | --- | --- | | POST | `/v1/solutions/gtm/company_intelligence` | Run company intelligence on a target | | POST | `/v1/solutions/gtm/people_search` | Find prospects | | POST | `/v1/solutions/gtm/web_research` | Run web research | | POST | `/v1/solutions/gtm/market_data` | Retrieve market data | | POST | `/v1/runs` | Start a run | | GET | `/v1/runs/{runId}` | Get a run's status and output | | GET | `/v1/balance` | Read the current balance | ## Key resources - **GTM solutions** — Run company intelligence, web research, people search, SEO research, social research, and market data - **Endpoints** — Search runnable endpoints and inspect one for its schemas, price, and version - **Runs** — Start a run, list runs, get a run's status and output, and stop a run - **Balance** — Read the current balance and list every balance movement ## AI readiness This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use. - **Score:** 62 / 100 - **Maturity:** AI-Aware - **Dimensions:** - Foundational Compliance: 74 / 100 - Developer Experience & Jentic Compatibility: 66 / 100 - AI-Readiness & Agent Experience: 40 / 100 - Agent Usability: 94 / 100 - Security: 60 / 100 - AI Discoverability: 80 / 100 - **View full report:** https://jentic.com/apis/glasser.ai/glasser/scorecard - **How the score is calculated:** https://docs.jentic.com/reference/api-readiness-framework/overview/ - **More about the dimensions:** https://docs.jentic.com/reference/api-readiness-framework/specification/#dimensional-model-overview ### Score it yourself Every API in the directory is allowlisted, so you can re-score it with no key required. - **Score your own API:** https://jentic.com/scorecard.md - **Scoring CLI agent skill:** https://github.com/jentic/jentic-api-scorecard/blob/main/skills/jentic-api-scorecard/SKILL.md ```sh npx @jentic/api-scorecard-cli score ``` ## Why Jentic - **Setup:** Wiring the Glasser API by hand means managing its bearer token, learning the research solution and run endpoints, and watching a prepaid balance as calls draw it down. Through Jentic you install once, import Glasser from the API Directory, store the token once, and your agent calls it. - **Permission scoping:** Glasser's research and run operations carry their inputs in the request body, so a rule bounds which operations your agent may call, such as company intelligence and market data, not which target. You choose the operations it may call, so the generic run operation and balance movements are not included unless you add them. - **Credential handling:** Your Glasser token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context. - **Discovery method:** Agents search Jentic by intent such as 'run company intelligence' or 'find prospects', and Jentic returns the matching Glasser operation with its input schema so the agent calls the right endpoint without reading the reference docs. ## Related APIs - **Clearbit** — Clearbit returns firmographic and contact enrichment on companies and people. - **People Data Labs** — People Data Labs provides person and company datasets for enrichment. - **SerpApi** — SerpApi returns structured search engine results. ## FAQ ### What authentication does the Glasser API use? The Glasser API authenticates with a bearer token in the Authorization header per its OpenAPI spec. Through Jentic that token is stored encrypted by your own Jentic One instance and injected at call time, so it never sits in your agent's prompt or logs. ### Can I run company intelligence with the Glasser API? Yes. The company-intelligence operation takes a target and returns an intelligence result, and you can pair it with web research, people search, and market data from the same key. Each research call draws from your prepaid balance. ### What are the rate limits for the Glasser API? The Glasser OpenAPI spec does not publish fixed rate limits. Glasser is pay-per-call drawn from a prepaid balance, so the balance and balance-history operations let your agent track remaining funds and spend rather than depend on a documented request ceiling. ### Is there a Glasser MCP server? You do not need an MCP server to give your agent the Glasser API. Jentic connects it directly from the API Directory: import it, store your token once, and your agent calls its operations. Operations are discovered on demand, so your agent's context stays lean instead of loading a full tool list up front. ### Can I limit what my agent is allowed to do with the Glasser API? Yes. Write a rule that allows only the company-intelligence and market-data research operations, so the agent can run those lookups but cannot start arbitrary runs or move your balance, and every call it makes is logged. The generic run and balance operations stay out of the allowed set until you add them. ### How do I run company intelligence with the Glasser API through Jentic? Search Jentic for 'run company intelligence', and it returns the Glasser company-intelligence operation with its input schema. Your agent posts the target and reads the intelligence result back. To run it on your own infrastructure, install Jentic One from its GitHub repo.