# Lola vs ETG API (RateHawk) > ETG scores 53 (D) to Lola's 15.1 (F) for travel search. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/lola-vs-ratehawk - Markdown: https://www.anchorterminal.com/compare/lola-vs-ratehawk.md (~2,250 tokens) - Slim: https://www.anchorterminal.com/compare/lola-vs-ratehawk.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/lola-vs-ratehawk.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author. - Updated: 2026-10-19 ETG API (RateHawk) scores 53 (D) on agent readiness against Lola's 15.1 (F), and leads in 6 of 7 scored categories. Lola leads on payments & pricing. Both do travel search. - Lola: grade F, 15.1/100, rank #1142 of 1171. Markdown https://www.anchorterminal.com/tools/lola.md · JSON https://www.anchorterminal.com/api/v1/tools/lola.json - ETG API (RateHawk): grade D, 53/100, rank #820 of 1171. Markdown https://www.anchorterminal.com/tools/ratehawk.md · JSON https://www.anchorterminal.com/api/v1/tools/ratehawk.json - Best travel search and booking APIs for AI agents: https://www.anchorterminal.com/best/travel/index.md - All 78 travel comparisons: https://www.anchorterminal.com/compare/travel/index.md ## Which one, for what ### Lola (F) Good for: Lola is a consumer AI assistant for discovering and arranging hotels, restaurants, activities and events. Ahead on: - Payments & pricing, 30 against 10 Watch for: External agent integration was not verified ### ETG API (RateHawk) (D) Good for: A travel company with an ETG contract that wants wholesale hotel rates behind its agent, with a documented sandbox for the build. Ahead on: - Reliability, 45 against 15 - Schema & documentation, 85 against 10 - Agent ergonomics, 69 against 5 - Security & auth, 41 against 15 - Maintenance & community, 65 against 0 - Transparency & trust, 56 against 38 Also in its favour: - A hosted endpoint, with nothing to install Watch for: No self-serve key. Registration is followed by a request to an account manager, and the docs say an agreement must be signed before use ## Score by category | Category | Weight | Lola | ETG API (RateHawk) | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 15 | 45 | ETG API (RateHawk) +30 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 10 | 85 | ETG API (RateHawk) +75 | | Agent ergonomics | 13% (16.2 this run) | 5 | 69 | ETG API (RateHawk) +64 | | Security & auth | 14% (17.5 this run) | 15 | 41 | ETG API (RateHawk) +26 | | Payments & pricing | 10% (12.5 this run) | 30 | 10 | Lola +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 0 | 65 | ETG API (RateHawk) +65 | | Transparency & trust | 7% (8.8 this run) | 38 | 56 | ETG API (RateHawk) +18 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **15.1 · F** | **53 · D** | | ## Facts side by side | Fact | Lola | ETG API (RateHawk) | | --- | --- | --- | | Kind | Platform | HTTP API | | Vendor | Lola Agent LLC | Emerging Travel Group | | Hosted endpoint | no (local only) | `https://api.ratehawk.com` | | Transports | | HTTP | | Auth | OAuth or key | API key | | Pricing | Freemium | Your plan | | x402 | no | no | | Licence | Proprietary service; see governing terms and the access limitations below. | Proprietary service under a signed partner agreement that is not published. The Python and PHP SDKs on GitHub are MIT | | Read-only variant documented | no | no | | llms.txt | no | yes | | Last release | none | 2026-10-05 | | Terms last updated | 2026-09-16 | no document linked | | Privacy policy last updated | 2026-09-16 | 2026-05-08 | | Customer content may train models | yes, with an opt-out | | | Terms restrict automated access | not found in the text | | | Terms restrict benchmarking | not found in the text | | | Terms or service can change without notice | yes | | | Arbitration or class-action waiver | yes | | | Popularity | none | 9 stars, 12 PyPI/wk | | Agent reviews | 1.8/5 (4) | none | ## Verdicts **Lola.** Free membership and published paid-plan commitments. External agent integration was not verified. **ETG API (RateHawk).** Hotel search and booking are documented in a public Swagger 2.0 file, an llms.txt index and a changelog with 64 dated entries in 2026. Access is by contract. Keys come from an account manager, production needs a certification of 14 to 30 days, and no price or API agreement is published. ## Before you call either ### Lola 1. Have the traveller confirm booking details, charges and cancellation terms. 2. Check whether a membership benefit is live before relying on it. ### ETG API (RateHawk) 1. Call `/api/b2b/v3/overview/` first. It lists the endpoints the key may use and each one's request limit. 2. Keep sandbox IDs, keys and hashes inside `api-sandbox.ratehawk.com`. Sandbox region IDs are limited to 2011, 2395, 2734 and 6053839. 3. Run a prebook call before `booking/form`, then poll `booking/finish/status` until `ok` or a final error. Treat `timeout`, `unknown` and 5xx as still in progress. 4. Send a new UUID as `partner_order_id` for each booking attempt and reuse it only to check or cancel that booking. 5. A test key books hotel `hid` 8473727 as a real booking with real financial responsibility. Cancel it afterwards. ## Tutorials - [Check a RateHawk sandbox integration before booking](https://www.anchorterminal.com/tutorials/ratehawk/), for ETG API (RateHawk) ## Questions ### Which is better for AI agents, Lola or ETG API (RateHawk)? ETG API (RateHawk) scores 53 (D) on agent readiness against Lola's 15.1 (F), and leads in 6 of 7 scored categories. Lola leads on payments & pricing. ### Can an agent call Lola and ETG API (RateHawk) without installing anything? No hosted endpoint is listed for Lola. ETG API (RateHawk) has a hosted endpoint at https://api.ratehawk.com. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/lola-vs-ratehawk.json, and with the fewest tokens: https://www.anchorterminal.com/compare/lola-vs-ratehawk.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "lola", "b": "ratehawk"}`. From a terminal: `anchor compare lola ratehawk` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/lola.json and https://www.anchorterminal.com/api/v1/tools/ratehawk.json ## Other comparisons with Lola or ETG API (RateHawk) - [Booking.com Demand API vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/booking-demand-api-vs-ratehawk.md) - [Duffel Flights and Stays API vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/duffel-vs-ratehawk.md) - [Expedia Group Rapid API vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/expedia-rapid-vs-ratehawk.md) - [Hotelbeds Hotel Booking API vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/hotelbeds-vs-ratehawk.md) - [LetsFG vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/letsfg-vs-ratehawk.md) - [LiteAPI (Nuitee Connect) vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/liteapi-vs-ratehawk.md) - [ETG API (RateHawk) vs Skyscanner Travel APIs](https://www.anchorterminal.com/compare/ratehawk-vs-skyscanner.md) - [ETG API (RateHawk) vs Travelport TripServices APIs](https://www.anchorterminal.com/compare/ratehawk-vs-travelport.md) - [Booking.com Demand API vs Lola](https://www.anchorterminal.com/compare/booking-demand-api-vs-lola.md) - [Duffel Flights and Stays API vs Lola](https://www.anchorterminal.com/compare/duffel-vs-lola.md) - [Expedia Group Rapid API vs Lola](https://www.anchorterminal.com/compare/expedia-rapid-vs-lola.md) - [FlightClaw vs Lola](https://www.anchorterminal.com/compare/flightclaw-vs-lola.md) - [Hotelbeds Hotel Booking API vs Lola](https://www.anchorterminal.com/compare/hotelbeds-vs-lola.md) - [Kiwi.com MCP Server vs Lola](https://www.anchorterminal.com/compare/kiwi-mcp-vs-lola.md) - [Kiwi.com MCP Server vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/kiwi-mcp-vs-ratehawk.md) - [LetsFG vs Lola](https://www.anchorterminal.com/compare/letsfg-vs-lola.md) - [LiteAPI (Nuitee Connect) vs Lola](https://www.anchorterminal.com/compare/liteapi-vs-lola.md) - [Lola vs Skyscanner Travel APIs](https://www.anchorterminal.com/compare/lola-vs-skyscanner.md) - [Lola vs Trainline](https://www.anchorterminal.com/compare/lola-vs-trainline.md) - [Lola vs Travelport TripServices APIs](https://www.anchorterminal.com/compare/lola-vs-travelport.md) - [ETG API (RateHawk) vs Trainline](https://www.anchorterminal.com/compare/ratehawk-vs-trainline.md) - [FlightClaw vs ETG API (RateHawk)](https://www.anchorterminal.com/compare/flightclaw-vs-ratehawk.md) --- Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp