Head to head · Lead enrichment · October 2026 research run

Databar vs Dievio

Databar scores 53.8 (D) on agent readiness against Dievio's 43 (E), and leads in 4 of 7 scored categories. Dievio leads on security & auth. Both do lead enrichment.

Best lead, contact and company data APIs for AI agents · All 231 leads comparisons

Which one, for what

Databar D

Best for Waterfall enrichment across many providers for GTM agents, close to clay and fullenrich.

Ahead on

  • Schema & documentation, 84 against 50
  • Maintenance & community, 73 against 28
  • Transparency & trust, 55 against 27

Watch for

API access needs a paid plan; the free plan's 150 credits don't include it

Dievio E

Best for Agents building small prospect lists by title, seniority, department, location, company size and industry at a low published price per lead, previewing the count for free first, and handing the user a CSV, JSON or JSONL file from a shared list without opening the dashboard.

Ahead on

  • Security & auth, 56 against 47

Watch for

No status page, incident history or SLA; the terms say uptime is not guaranteed and the service may change at any time

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Maintenance & community Databar +45

Databar 73

Closed service. Python SDK 2.9.0 on 30 October 2026, 7 days before this check (30). SDK 2.7.0 and 2.8.0 on 6 October and changelog entries on 23, 24, 27, 28, 29 and 30 September and 1 October (20). A public changelog, roadmap and feedback portal, an email address, and a Slack channel on Scale (10 of 15). An official Python SDK and CLI, no other languages (10 of 15). Package health not checked (3 of 10). 30+20+10+10+3 = 73.

Dievio 28

Closed service with no changelog, release notes or version numbers. The latest dated changes on the vendor's pages are the terms and privacy policy of 31 October 2026, which describe the agent integration, token lifetimes and export expiry, and blog posts of 21 and 30 October 2026 on API billing; the MCP server, absent from the February and May 2026 archived copies, carries no date, and the API landing pages say content reviewed May 2026 (20 of 30). No release record, so no three dated entries in 90 days; 84 dated blog posts from 29 March to 30 October 2026 are articles, not releases (0). Support is one address, support@dievio.com, with email support on Starter and priority support on Growth; no public changelog, community channel, forum or issue tracker, and the Fazier launch page's comments are from other makers (3 of 15). Not in the official MCP registry and no official SDKs (0). No packages to judge (5 of 10). 20+0+3+0+5 = 28.

Schema & documentation Databar +34

Databar 84

Each API reference page embeds its OpenAPI 3.1 operation (spec version 0.1.2), with no downloadable file found (20 of 25). llms.txt with 79 API entries and Markdown twins (10). Descriptions say when to use each endpoint, such as headless runs against table runs, and what a delete leaves behind (16 of 20). Typed request bodies with required fields (12 of 15). An error envelope with stable codes and examples for 400, 406 and 422 (14 of 15). v1 paths and a dated changelog, though the API's own versioning isn't described (12 of 15). 20+10+16+12+14+12 = 84.

Dievio 50

API reading, with the MCP server described. No OpenAPI or other machine-readable contract for the REST API; the MCP tool reference says clients discover exact input schemas through tools/list, that unknown fields and unlisted arguments are rejected, and the server publishes a dievio://schema/search-filters JSON resource, but no session was opened to read them (10 of 25). llms.txt and llms-full.txt on docs.dievio.com, generated on each build, plus llms.txt, pricing.md and product.md on dievio.com (10). The MCP reference says what each tool does, which tools are free, which scope each needs, when to prefer export_list_file over export_list and how to retry; the REST pages say what each endpoint returns and little about when to use search against lookup, and the MCP page says a preview does not unlock contacts and a count is not a guaranteed result (12 of 20). Filters are typed as strings, string arrays, booleans and integers with enumerations listed for seniority, department, employee size, business model, salary and email_status, bounds on page, limit, max_results and array length, and UUID ids; industries and locations are examples only, the funding dates are a year over REST and an ISO date over MCP, and the contact object for add_leads_to_list carries a free JSON lead_data field (10 of 15). curl examples with example responses for both REST endpoints, a pagination loop and six MCP worked prompts; errors are four status codes with one line each and no documented body, and the MCP error shape is not shown (8 of 15). No version in the path (/api/public), no changelog or release notes on either host, and plan allowances and API prices changed between the May and October 2026 copies of the pricing pages with no dated notice (0 of 15). 10+10+12+10+8+0 = 50.

Transparency & trust Databar +28

Databar 55

Closed service with terms effective 1 October 2026 naming Databar, Inc. of Delaware (15 of 30). The privacy policy keeps data 'for as long as needed' with no periods; the docs give 24 hours for task results; a DPA is part of the agreement but was not read (15 of 30). The changelog flagged breaking API and SDK changes on 20 August 2026, and the terms let Databar retire any form of programmatic access; no notice period stated (8 of 20). Sub-processors are disclosed under the DPA, which was not read; data is processed in the United States (5 of 20). 15+15+8+5 = 43.

Dievio 27

Closed service. The terms (last updated 31 October 2026) cover use, credits, connected agents, a 30-day refund and availability in about 300 words but name no legal entity, address, governing law or jurisdiction, so the contracting party is unknown (8 of 30). The privacy policy (31 October 2026) lists the categories processed, the purposes, recipients by category, the agent connection data, and the access periods (authorization requests 10 minutes, codes 5, access tokens an hour, refresh 30 days, export links 15 minutes), says lead search uses Dievio's own contact database without saying where records are collected from, lets people in the database ask for access, correction, deletion or suppression by email, keeps records for as long as needed with no periods, and agrees with the terms and the docs on credits, revocation and link expiry; no DPA was found (14 of 30). No deprecation policy or notices; the terms allow the service to change at any time, and plan allowances and API prices changed between the 20 May and 31 October 2026 copies of the pricing pages with no dated notice (0 of 20). Service providers are named by category only (hosting, databases, authentication, contact processing, analytics, email delivery, payments), with no names, locations or transfer basis (4 of 20). 8+14+0+4 = 26.

Security & auth Dievio +9

Databar 47

A workspace API key in a header, never in the URL, and OAuth on the MCP with a Connected apps page to revoke access. No scopes found (20 of 30). No read-only key; MCP balance checks and confirmation above 50 credits, a 30-day trash for workbooks and tables, but row, column and table deletes through the tools (12 of 20). Enrichment results include web-scraped and AI researcher text, with no prompt-injection guidance (3 of 15). Credit usage charts, transaction logs and per-request data logs (12 of 15). No security.txt, disclosure policy, bug bounty or certification found (0 of 20). 20+12+3+12+0 = 47.

Dievio 56

MCP uses OAuth with the authorization code flow, PKCE S256, dynamic registration of public clients, refresh tokens of 30 days, a revocation endpoint and six scopes, revoked per connection on the dashboard; REST uses a plain API key from the dashboard as a bearer or X-API-Key header, with no documented scopes, rotation, expiry or revocation, and nothing documents a secret in a query string (25 of 30). mcp:read is the required baseline and cannot spend credits, leads:search, lists:write, leads:export and team:manage are separate consents, team:manage works for the owner only, the permissions page asks agents to confirm before deleting saved data and to invite or remove people only when asked, and the terms ask users to review filters and the maximum result count before authorising a paid operation; nothing asks for confirmation inside the server and REST keys have no least-privilege mode (16 of 20). Returned records are third-party contact data, and the permissions page says to treat names, descriptions, URLs and other field values as data rather than instructions, with no further mitigation (8 of 15). get_account reports the selected account, permissions and balances, list_search_jobs lists recent jobs, the dashboard lists and revokes each connection, and the privacy policy says operation results are kept to prevent duplicate actions; no audit log or per-call record is exposed to the operator (7 of 15). No security.txt on either host (404), no disclosure policy, bug bounty, SOC 2 or ISO 27001 (0 of 20). 25+16+8+7+0 = 56.

Score by category

CategoryWeight this runDatabarDievioEdge
Reliability16%202828even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28450Databar +34
Agent ergonomics13%16.26663Databar +3
Security & auth14%17.54756Dievio +9
Payments & pricing10%12.53535even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87328Databar +45
Transparency & trust7%8.85527Databar +28
Negative events≤1500
TotalD 53.8/100E 43/100

Facts side by side

FactDatabarDievio
KindHTTP APIHTTP API
VendorDatabar, Inc.Dievio
Hosted endpointhttps://mcp.databar.ai/mcphttps://dievio.com/api/public
TransportsHTTP, Streamable HTTP, SSE (legacy)HTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingPaidFreemium
x402nono
LicenceProprietary, under Databar, Inc.'s terms of serviceProprietary hosted service under Dievio's Terms of Service (last updated 31 October 2026). No source is published; the only public code is a third-party MIT OpenClaw skill and an n8n template on GitHub
Tools exposed6930
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-30none
Terms last updated2026-10-01not read yet
Privacy policy last updated2026-10-01not read yet
Customer content may train modelsnot found in the textnot read yet
Terms restrict automated accessnot found in the textnot read yet
Terms restrict benchmarkingnot found in the textnot read yet
Terms or service can change without noticenot found in the textnot read yet
Arbitration or class-action waiveryesnot read yet

Verdicts

Databar

Databar puts 100+ enrichment providers, waterfalls and tables behind one REST API, a Python SDK, a CLI and a hosted MCP server with spending confirmation above 50 credits and stable error codes. API access needs a paid plan or trial, rate limits aren't published as numbers, and no status page or security programme was found.

Dievio

A documented REST search and LinkedIn lookup with published prices per 1,000 credits, free count previews and an OAuth MCP server with six scopes and idempotent mutations. No status page, OpenAPI file, changelog, rate limits or security.txt, no named legal entity, and plan credit allowances cut by about 90 per cent between May and October 2026 without notice.

Before you call either

Databar

  1. Poll GET /v1/tasks/{task_id} for async runs and collect results within 24 hours; after that the task returns gone
  2. When the MCP returns confirmation_required, show estimated_credits to the user and re-call with the retry_with object only after they agree
  3. Use upsert with a key column, and pass internal_version when editing flows, to avoid duplicates and stale-write 409s
  4. Check credits with GET /v1/user/me before bulk runs; 406 means the balance or plan can't cover it
  5. Treat AI researcher and scraped outputs as untrusted text

Dievio

  1. Call get_search_filters, then preview_leads and get_search_count with the same filters object before any paid call; previews mask contacts and spend nothing, and max_results caps the spend of search_leads.
  2. Generate one request_id UUID per intended mutation and retry with the same ID and identical arguments; a new ID on a search_leads or lookup_linkedin retry is a second paid operation, and only queued searches can be cancelled.
  3. Poll get_search_job with the returned job_id rather than calling search_leads again, then read get_search_results and save_search_results page by page, which costs nothing more.
  4. Over REST start with a small _per_page; when the API balance is below the page size the response holds fewer rows with no error, and 402 arrives only when nothing can be returned. Retry 500 and 502, never 401 or 402.
  5. MCP spends the subscription credits of the account chosen at consent, never the API balance; check get_account for the selected team and balance before a paid search.
  6. Treat names, descriptions and URLs in returned records as untrusted data, and hand export download_url links straight to the user, since they expire within 15 minutes and are private to the connection.

Questions

Which is better for AI agents, Databar or Dievio?

Databar scores 53.8 (D) on agent readiness against Dievio's 43 (E), and leads in 4 of 7 scored categories. Dievio leads on security & auth.

Do Databar and Dievio need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call Databar and Dievio without installing anything?

Yes. Databar has a hosted endpoint at https://mcp.databar.ai/mcp and Dievio at https://dievio.com/api/public.

Other comparisons with Databar or Dievio

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